Repository: CODAIT/max-central-repo
Branch: master
Commit: 5cb1739ee45e
Files: 8
Total size: 49.5 KB
Directory structure:
gitextract_w0bpt2r4/
├── .github/
│ └── ISSUE_TEMPLATE/
│ ├── new-model.md
│ └── support.md
├── .gitignore
├── CODE_OF_CONDUCT.md
├── MAINTAINERS.md
├── README.md
├── contribution.md
└── max-model-status.md
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FILE CONTENTS
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FILE: .github/ISSUE_TEMPLATE/new-model.md
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---
name: New Model Proposal
about: Propose a new model
title: 'name of my new model'
labels: 'model-proposal'
assignees: ''
---
Please fill out the relevant template with as much detail as you can provide.
## New Model Proposal
1. Model Name:
2. Domain (e.g., Computer Vision, Natural Language Processing, Audio):
3. Application (e.g., Object Detection, Image Classification):
4. Model Detailed Description:
5. Model License:
6. Model Training Data Link and License:
7. Paper Reference if any:
8. Owner details (Name and Email):
9. License for Model:
10. Model Framework:
11. Source repository (if applicable):
## Code Change
1. Which model(s) are affected?
If this is about a particular MAX model, please close this page and ask in their respective repository. You can find a list of the repositories [here](https://github.com/CODAIT/max-central-repo/blob/master/max-model-status.md).
2. If it is performance issue, describe the bug:
3. Link to the code to reproduce the issue:
4. System information (OS/Framework + version/Python version):
5. Include logs to diagnose the problem:
6. Link to the solution:
7. Link to the test cases:
## Feature Request
1. Which model(s) is this request for?
If this is about a particular MAX model, please close this page and ask in their respective repository. You can find a list of the repositories [here](https://github.com/CODAIT/max-central-repo/blob/master/max-model-status.md).
2. Is there already an existing implementation in case of a feature request?
3. What will be the benefit of the change?
4. Will this change impact the current API?
5. Link to the solution:
6. Link to the test cases:
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FILE: .github/ISSUE_TEMPLATE/support.md
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---
name: Support
about: Create a ticket for support
title: 'A brief description of my support question'
labels: 'question'
assignees: ''
---
# General Discussion
Ask general question about MAX here. If the question is about a particular MAX model please ask in the respective repository. You can find a list of the repositories [here](https://github.com/CODAIT/max-central-repo/blob/master/max-model-status.md).
### Details
### If relavant, what is your system environment?
- Operating system:
- Docker version: [Output from `docker --version`]
- CPU:
- RAM:
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FILE: .gitignore
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.DS_store
# Byte-compiled / optimized / DLL files
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*.py[cod]
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# Distribution / packaging
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env/
build/
develop-eggs/
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downloads/
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# PyInstaller
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
.hypothesis/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
# Flask stuff:
instance/
.webassets-cache
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.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
target/
# Jupyter Notebook
.ipynb_checkpoints
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.python-version
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celerybeat-schedule
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*.sage.py
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.venv
venv/
ENV/
# Spyder project settings
.spyderproject
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# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.idea/
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FILE: CODE_OF_CONDUCT.md
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The Model Asset Exchange contributors and maintainers are dedicated to providing a harassment-free experience for everyone, regardless of gender, gender identity and expression, sexual orientation, disability, physical appearance, body size, age, race, or religion. We do not tolerate harassment of participants in any form.
This code of conduct applies to all Model Asset Exchange spaces, both online and off. Anyone who violates this code of conduct may be sanctioned or expelled from these spaces at the discretion of the IBM Open Source team.
We may add additional rules over time, which will be made clearly available to participants. Participants are responsible for knowing and abiding by these rules.
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FILE: MAINTAINERS.md
================================================
# Maintainers Guide
Following is the current list of maintainers on this project
The maintainers are listed in alphabetical order.
- Alex Bozarth
- Brendan Dwyer
- Bryan Cutler
- Daniel Jalova
- Edward Leardi
- Fei Hu
- Frederick Reiss
- Gabriela de Queiroz
- Hong Xu
- I-Hong Jhuo
- Jerome Nilmeier
- Karthik Muthuraman
- Nick Pentreath
- Patrick Titzler
- Simon Plovyt
- Saishruthi Swaminathan
- Va Barbosa
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FILE: README.md
================================================
<div align="center">
<img src="https://github.com/CODAIT/max-central-repo/raw/master/images/title.png">
</div>
#
## :exclamation: We are Open Source and We Welcome Contributions :exclamation:
Our mission at [CODAIT](http://codait.org) is to democratize AI, to make AI technologies accessible to practitioners who understand real-world problems and enable them to develop AI solutions that solve these problems.
The core technologies behind today’s AI systems rely heavily on open-source software projects. Going from raw data to training data to models to solutions requires many open technologies, and it’s crucial that these technologies not only work well, but work well together. Our developers and data scientists are continually improving these frameworks with our targeted open source contributions, making them work better both individually and as an integrated pipeline. Hence our name — the Center for Open-Source Data and AI Technologies.
Subscribe to our newsletters to keep updated with the recent announcements [here](https://developer.ibm.com/newsletters/).
# Model Asset Exchange
The Model Asset Exchange on IBM Developer is a place for developers to find and use free, open source, state-of-the-art deep learning models for common application domains.
The curated list includes deployable models that you can run as a microservice locally or in the cloud on contanerization platforms like Docker, Kubernetes or OpenShift, and trainable models where you can use your own data to train the models.
Models are licensed under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0).
Domains covered: Text, Vision, Audio, and Time-Series.
Models can be consumed via:
1. Any [programming language](https://github.com/IBM/MAX-Object-Detector/blob/master/demo.ipynb)
2. [WebApp](https://developer.ibm.com/patterns/create-a-web-app-to-interact-with-objects-detected-using-machine-learning/)
3. [Node-RED Flow](http://ibm.biz/max-for-node-red)
4. [Serverless App](https://developer.ibm.com/tutorials/deploy-a-model-asset-exchange-microservice-on-red-hat-openshift/)
5. [CodePen](https://codepen.io/collection/DzdpJM/#)
# Contact Us
If you have any questions that you would like to discuss with us:
1. For general discussion, you are welcome to open an issue in [our issue tracker](https://github.com/CODAIT/max-central-repo/issues/new).
2. For a question about a particular model, you are welcome to open an issue in the corresponding repository. You can find a list of the repositories [here](https://github.com/CODAIT/max-central-repo/blob/master/max-model-status.md).
# Contributing to the Model Asset Exchange
We welcome anyone who wants to make contributions to the Model Asset Exchange. Please review the [contribution guidelines](contribution.md). This project adheres to code of conduct mentioned [here](CODE_OF_CONDUCT.md).
By participating, you are expected to uphold this code.
1. To start a general discussion create an issue in this repo.
2. For model-specific questions, go to the corresponding model repository and create an issue.
3. For those who want to contribute a model to MAX, here is a quick summary of the process:
- To contribute code, documentation, or tests, please submit a pull request in the model's repository (a list is [available](https://github.com/CODAIT/max-central-repo/blob/master/max-model-status.md)).
- Our [maintainers](MAINTAINERS.md) will review your proposal.
- If approved, wrap the model using the [MAX-Skeleton as a guide](https://github.com/IBM/MAX-Skeleton).
We use Github Pull Requests for tracking requests and bugs, please direct any questions to [our Slack channel](https://model-asset-exchange.slack.com/join/shared_invite/enQtNDQ4OTQxODUyMTYwLTI1NzgyMTRlNWE4ZGE3NmQ5ZjJhYjEwZjA3ZmY4NWViN2MxMWJiZjg0NzM1MTNiZGYwYmQ0MjQ2Mzk3YzI1Yjc).
# Model Information
1. [Deployable Models](#deployable-models)
2. [Deployable and Trainable Models](#deployable-and-trainable-models)
## Deployable Models
| Domain | Model | Framework | Dataset | Application | Model Consumption |
| ---- | --------------------------------------| ---------- | ------- | ----------- | ----------------- |
| Audio | [Audio Classifier](https://developer.ibm.com/exchanges/models/all/max-audio-classifier/)| Keras/TensorFlow | [Google AudioSet](https://research.google.com/audioset/) | Classification | <p> [Demo](https://developer.ibm.com/patterns/train-and-evaluate-an-audio-classifier-using-keras-and-jupyter-notebook/) <br> [Node-RED](https://flows.nodered.org/flow/eaef0871ea62242d32f370d9352ee4ca) <br> [CodePen](https://codepen.io/collection/DzdpJM/)|
| Audio | [Audio Embedding Generator](https://developer.ibm.com/exchanges/models/all/max-audio-embedding-generator/)| TensorFlow | [Google Audio Dataset](https://research.google.com/audioset/) | Embeddings ||
| Audio | [Audio Sample Generator](https://developer.ibm.com/exchanges/models/all/max-audio-sample-generator/)| TensorFlow | [Speech Commands](https://www.kaggle.com/c/tensorflow-speech-recognition-challenge/data) and [FMA](http://freemusicarchive.org/) |Audio Modeling ||
| Audio | [Speech to Text Converter](https://developer.ibm.com/exchanges/models/all/max-speech-to-text-converter/)| TensorFlow | [Mozilla Common Voice](https://voice.mozilla.org/en) | Speech Recognition ||
| NLP | [Text Summarizer](https://developer.ibm.com/exchanges/models/all/max-text-summarizer/)| TensorFlow | [CNN / Daily Mail](https://github.com/JafferWilson/Process-Data-of-CNN-DailyMail) | Text Summarization||
| NLP | [Toxic Comment Classifier](https://developer.ibm.com/exchanges/models/all/max-toxic-comment-classifier/)| PyTorch | [Kaggle Toxic Comment Classification dataset](https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge/data) | Text Classification ||
| NLP | [Chinese Phonetic Similarity Estimator](https://developer.ibm.com/exchanges/models/all/max-chinese-phonetic-similarity-estimator/)| Python || Text Clustering/Phonetics ||
| NLP | [News Text Generator](https://developer.ibm.com/exchanges/models/all/max-news-text-generator/)| TensorFlow | [One Billion Word Benchmark Dataset](http://www.statmt.org/lm-benchmark/) | Language Modeling ||
| NLP | [Review Text Generator](https://developer.ibm.com/exchanges/models/all/max-review-text-generator/) | Keras | [Kaggle Yelp Reviews Dataset](https://www.kaggle.com/c/yelp-recruiting/data) | Language Modeling ||
| Vision | [Breast Cancer Mitosis Detector](https://developer.ibm.com/exchanges/models/all/max-breast-cancer-mitosis-detector/)| Keras | [TUPAC16](http://tupac.tue-image.nl/node/3) | Image Classification ||
| Vision | [Fast Neural Style Transfer](https://developer.ibm.com/exchanges/models/all/max-fast-neural-style-transfer/)| PyTorch | [COCO 2014](http://mscoco.org/dataset/#download) | Style Transfer ||
| Vision | [Human Pose Estimator](https://developer.ibm.com/exchanges/models/all/max-human-pose-estimator/)| TensorFlow | [COCO](http://cocodataset.org/)| Human Pose Estimation |<p> [Demo](https://developer.ibm.com/patterns/making-music-with-the-max-human-pose-estimator-and-tensorflowjs/) <br> [WebApp](https://ibm.github.io/max-human-pose-estimator-tfjs/) <br> [Node-RED](https://flows.nodered.org/flow/1ef026c41e36a6f2fcca1ec2de342678) <br> [CodePen](https://codepen.io/collection/DzdpJM/)|
| Vision | [Image Caption Generator](https://developer.ibm.com/exchanges/models/all/max-image-caption-generator/)| TensorFlow | [COCO](http://mscoco.org/) | Image Caption Generator | <p> [Demo](https://developer.ibm.com/patterns/create-a-web-app-to-interact-with-machine-learning-generated-image-captions/) <br> [WebApp](http://max-image-caption-generator-web-app.mybluemix.net/?_ga=2.142126706.134192302.1567630407-1923667995.1567630407) <br> [Node-RED](https://flows.nodered.org/flow/ab4de9fdc1e2f63e472ada8976b422b7) <br> [CodePen](https://codepen.io/collection/DzdpJM/)|
| Vision | [Image Colorizer](https://developer.ibm.com/exchanges/models/all/max-image-colorizer/)| TensorFlow | [COCO](http://mscoco.org/) | Image Coloring ||
| Vision | [Image Resolution Enhancer](https://developer.ibm.com/exchanges/models/all/max-image-resolution-enhancer/)| TensorFlow | [OpenImages v4](https://storage.googleapis.com/openimages/web/index.html)|Super-Resolution ||
| Vision | [Inception-ResNet-v2](https://developer.ibm.com/exchanges/models/all/max-inception-resnet-v2/)| Keras | [ImageNet](http://www.image-net.org/)| Image Classification | [Node-RED](https://flows.nodered.org/flow/8e6fbc1ad88a156c040aa0f96031f04a)|
| Vision | [Nucleus Segmenter](https://developer.ibm.com/exchanges/models/all/max-nucleus-segmenter/)| Keras | [2018 Data Science Bowl](https://data.broadinstitute.org/bbbc/BBBC038/) | Object Detection ||
| Vision | [Scene Classifier](https://developer.ibm.com/exchanges/models/all/max-scene-classifier/)| PyTorch | [Places365](http://places2.csail.mit.edu/download.html) | Image Classification | [Node-RED](https://flows.nodered.org/flow/196917d2af313396a0bf3c737c9d2d5b) |
| Vision | [Sports Video Classifier](https://developer.ibm.com/exchanges/models/all/max-sports-video-classifier/)| TensorFlow | [Sports-1M](https://cs.stanford.edu/people/karpathy/deepvideo/) | Video Classification ||
| Time-Series| [Weather Forecaster](https://developer.ibm.com/exchanges/models/all/max-weather-forecaster/)| TensorFlow/Keras | [JFK Airport Weather Data, NOAA](https://www.ncdc.noaa.gov/cdo-web/datasets/LCD/stations/WBAN:94789/detail) | Weather Prediction ||
## Deployable and Trainable Models
| Domain | Model | Framework | Training Dataset for Deployable Model| Application | Model Consumption |
| ---- | --------------------------------------| ---------- | ------- | ----------- | ----------------- |
| NLP | [Text Sentiment Classifier](https://developer.ibm.com/exchanges/models/all/max-text-sentiment-classifier/)| TensorFlow | [IBM Claim Stance Dataset](http://www.research.ibm.com/haifa/dept/vst/debating_data.shtml?_ga=2.71410259.134192302.1567630407-1923667995.1567630407) | Sentiment Analysis ||
| NLP | [Named Entity Tagger](https://developer.ibm.com/exchanges/models/all/max-named-entity-tagger/)| Keras | [Groningen Meaning Bank (GMB) Dataset](http://gmb.let.rug.nl/data.php) | Named Entity Recognition ||
| NLP | [Question Answering](https://developer.ibm.com/exchanges/models/all/max-question-answering/) | TensorFlow | [SQuAD 1.1 Dataset](https://rajpurkar.github.io/SQuAD-explorer/) | Question and Answer ||
| NLP | [Word Embedding Generator](https://developer.ibm.com/exchanges/models/all/max-word-embedding-generator/)| TensorFlow | Random Text | Word Embeddings |
| Vision | [Object Detector](https://developer.ibm.com/exchanges/models/all/max-object-detector/)| TensorFlow | [COCO](http://mscoco.org/) | Object Detection | <p> [WebApp](http://max-object-detector.max.us-south.containers.appdomain.cloud/app/) <br> [Node-RED](https://flows.nodered.org/flow/33d3214c1f5774009ffbc983c96f1594) <br> [CodePen](https://codepen.io/collection/DzdpJM/)|
| Vision | [ResNet-50](https://developer.ibm.com/exchanges/models/all/max-resnet-50/)| Keras | [ImageNet](http://www.image-net.org/) | Image Classification ||
| Vision | [Image Segmenter](https://developer.ibm.com/exchanges/models/all/max-image-segmenter/)| TensorFlow | [VOC2012 ~10k images](http://host.robots.ox.ac.uk/pascal/VOC/voc2012/) | Semantic Image Segmentation | <p> [Demo](https://developer.ibm.com/patterns/max-image-segmenter-magic-cropping-tool-web-app/) <br> [WebApp](https://codait.github.io/max-photo-booth/) <br> [Node-RED](https://flows.nodered.org/flow/d905e599add7f49cb71890df78b458d7) <br> [CodePen](https://codepen.io/collection/DzdpJM/) |
## General resources
1. Check the current status for the [Model Asset Exchange](https://developer.ibm.com/exchanges/models/) ecosystem [here](max-model-status.md).
2. MAX Framework: Python package that contains common code shared across all MAX models - ([link](https://github.com/IBM/MAX-Framework))
3. MAX Skeleton: Docker based deployment skeleton for deep learning models on the Model Asset Exchange - ([link](https://github.com/IBM/MAX-Skeleton))
1. MAX Training Framework: WML training framework library for the Model Asset Exchange ([link](https://github.com/IBM/MAX-Training-Framework))
## Tutorials
1. [Get started with the Model Asset Exchange](https://developer.ibm.com/tutorials/getting-started-with-the-ibm-code-model-asset-exchange/)
1. [Deploy deep learning models on Red Hat OpenShift](https://developer.ibm.com/tutorials/deploy-a-model-asset-exchange-microservice-on-red-hat-openshift/)
1. [Deploy MAX models to the cloud with Kubernetes](https://developer.ibm.com/tutorials/deploy-max-models-to-ibm-cloud-with-kubernetes/)
1. [Leverage deep learning in IBM Cloud Functions](https://developer.ibm.com/tutorials/leverage-deep-learning-in-apache-openwhisk-ibm-cloud-functions/)
1. [Leverage deep learning in your Node-RED flows](https://developer.ibm.com/tutorials/learn-how-to-leverage-deep-learning-in-your-node-red-flows/)
1. [Use Node-RED Node Generator to create new nodes from APIs and services](https://developer.ibm.com/tutorials/use-node-red-node-generator-to-create-new-nodes-from-apis-and-services/)
## Blogs
1. [Get an introduction to the Model Asset Exchange on IBM Developer](https://developer.ibm.com/articles/introduction-to-the-model-asset-exchange-on-ibm-developer/)
2. [Open source and AI at IBM](https://developer.ibm.com/blogs/open-source-ibm-and-ai/)
3. [Expanding the reach of the IBM Model Asset eXchange](https://developer.ibm.com/blogs/announcing-a-new-batch-of-model-asset-exchange-models/)
4. [An introduction to the internals of the Model Asset eXchange](https://developer.ibm.com/blogs/an-introduction-to-the-internals-of-model-asset-exchange/)
5. [Where are my new models for NLP? They’re here!](https://developer.ibm.com/blogs/max-models-for-natural-language-processing)
6. [Running MAX Deep Learning models on Raspberry Pi](https://developer.ibm.com/technologies/artificial-intelligence/blogs/running-max-deep-learning-models-on-raspberry-pi)
## Slides and Video Recordings
### Slides
1. [Slide - Ready to use Deep Learning Models: All You Need is 5 Minutes (Gabriela de Queiroz)](https://speakerdeck.com/kroz/ready-to-use-deep-learning-models-all-you-need-is-5-minutes)
2. [Slide - Demystifying Data Science (Gabriela de Queiroz)](http://bit.ly/dl-for-all)
### Videos
1. [Video - Image Cropping Web App (Nick Kasten)](https://www.youtube.com/watch?v=Kxnzpbl0YEQ) (based on the [demp application](https://developer.ibm.com/patterns/max-image-segmenter-magic-cropping-tool-web-app/) code pattern)
*About* : Use a free, open-source deep learning model to detect different types of objects in an image, then interact with them in a drag-and-drop web application.
2. [Video - Object Detector Web App demo (Alex Bozarth)](https://www.youtube.com/watch?v=Hs6sVWmfVFw)
*About* : The IBM Model Asset eXchange (MAX) has given application developers without data science experience easy access to prebuilt machine learning models.
This web app uses the Object Detector from MAX and creates a simple web UI that displays bounding boxes around detected objects in an image and lets you filter
the objects based on their label and probable accuracy given by the model.
3. [Video - Lighting Talk: IBM Code Model Asset Exchange (Brendan Dwyer)](https://youtu.be/4MFgJNDPGjU)
*About*: This talk walks you through the process of building Model Asset Exchange
4. [Video - Bringing an AI Ecosystem to the Domain Expert and Enterprise AI Developer (Frederick Reiss & Vijay Bommireddipalli)](https://youtu.be/mNLl9E5p-xE)
*About* : In this talk, we’ll break down the challenges a domain expert faces today in applying AI to real-world problems.
We’ll talk about the challenges that a domain expert needs to overcome in order to go from “I know a model of this type exists” to “I can tell an application developer how to apply this model to my domain.”
5. [Video - Deploying Machine Learning Models in Practice (Nick Pentreath)](https://youtu.be/9tOlyKxkRcc)
*About* : The talk will cover various options for the most popular and widely used ML libraries, including MLeap, TF Serving and open standards such as PMML, PFA and the recently announced ONNX for Deep Learning. I will also introduce Aardpfark, initially covering Spark ML pipelines - as well as experimental work for exporting Spark ML pipelines to TensorFlow graphs for use with TF Serving.
6. [Video - Lessons Learned Building an Open Deep Learning Model Exchange (Nick Pentreath)](https://youtu.be/6vvl8OdmS14)
*About* : This talk walks you through the process of building MAX and shares challenges and problems encountered,
the solutions developed, and the lessons learned, along with best practices for cross-framework, standardized deep learning model training and deployment.
7. [Video - Deploy Deep Learning models as Microservices in minutes - Gabriela de Queiroz, Karthik Muthuraman and Saishruthi Swaminathan](https://www.youtube.com/watch?v=L8nuj_RxbUk&t=1117s)
*About* The talk will cover Model Asset Exchange, Data Asset Exchange and explains steps for wrapping a custom model using MAX-Framework.
## Community
1. [Join Community Slack](https://model-asset-exchange.slack.com/join/shared_invite/enQtNDQ4OTQxODUyMTYwLTI1NzgyMTRlNWE4ZGE3NmQ5ZjJhYjEwZjA3ZmY4NWViN2MxMWJiZjg0NzM1MTNiZGYwYmQ0MjQ2Mzk3YzI1Yjc)
2. [CODAIT Twitter](https://twitter.com/ibmcodait)
3. [CODAIT Medium](https://medium.com/codait)
4. [IBM Developer](https://developer.ibm.com/newsletters/)
5. [GitHub Issues](https://github.com/CODAIT/max-central-repo/issues)
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FILE: contribution.md
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# Contribution Guide
This is an open source project, and we appreciate your help!
Generally, we expect two maintainers to review your pull request before it is approved for merging. Please follow the guidelines below before submitting the pull request.
## Open Source Licenses
All models in the Model Asset Exchange are released under the [Apache License Version 2](https://www.apache.org/licenses/LICENSE-2.0) or a similar open-source license. If releasing a pretrained model then the data must also be released under an open-source license such as the [Community Data License Agreement – Sharing, Version 1.0 (CDLA-Sharing-1.0)](https://cdla.io/sharing-1-0/) (preferred) or [Creative Commons Share-Alike (CC BY-SA 4.0)](https://creativecommons.org/licenses/by-sa/4.0/).
## Merge approval
Every pull request requires approval from one maintainer who is not the author of the pull request.
## Does the proposed model or code change have positive impact?
Pull requests that do not have a positive impact should be closed without merging. A positive impact is anything with a concrete improvement. A positive impact is a very broad concept and includes things as small as minor improvements in code readability and the UI. Still, some proposed changes may not impose a positive impact to the project. This usually happens when the change merely reflects the author's personal preference, such as a minor change in the color of displayed text without a particular reason, etc.
For any given pull request related to model addition, ask yourself "is this model a new addition to the domain?" and "is this a state-of-the-art model for the proposed application?" If so, does the pull request (or associated issue) describe the benefit brought by the model? If not, please add that information.
Before merging code, remember to check for the following:
- Are new unit tests in place that test all new features introduced?
- Does the code pass through `flake8`?
- Is documentation in place for the new feature or model?
#### Contributors
Below is an (incomplete) list of people (in alphabetical order) who have contributed to this project via code, tests, or documentation:
- Alex Bozarth
- Anooj Patel
- Brendan Dwyer
- Bryan Cutler
- Collin Abidi
- Daniel Jalova
- Edward Leardi
- Fei Hu
- Frederick Reiss
- Gabriela de Queiroz
- Garima Singh
- Hong Xu
- I-Hong Jhuo
- Jerome Nilmeier
- Karthik Muthuraman
- Nakul Jindal
- Nick Pentreath
- Mike Dusenberry
- Patrick Titzler
- Saishruthi Swaminathan
- Simon Plovyt
- Va Barbosa
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FILE: max-model-status.md
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# Model Asset Exchange ecosystem status
Current status for the https://developer.ibm.com/exchanges/models/ ecosystem.
##
| Use Case | Model | Status | Latest Release |
| ---- | ---- | ---- | ---- |
| Audio | [Audio Embedding Generator](https://github.com/IBM/MAX-Audio-Embedding-Generator) | [](https://travis-ci.com/IBM/MAX-Audio-Embedding-Generator) [](http://MAX-Audio-Embedding-Generator.codait-prod-41208c73af8fca213512856c7a09db52-0000.us-east.containers.appdomain.cloud/) | [](https://github.com/IBM/MAX-Audio-Embedding-Generator/releases/latest) |
| | [Audio Classifier](https://github.com/IBM/MAX-Audio-Classifier) | [](https://travis-ci.com/IBM/MAX-Audio-Classifier) [](http://MAX-Audio-Classifier.codait-prod-41208c73af8fca213512856c7a09db52-0000.us-east.containers.appdomain.cloud/) | [](https://github.com/IBM/MAX-Audio-Classifier/releases/latest) |
| | [Audio Sample Generator](https://github.com/IBM/MAX-Audio-Sample-Generator) | [](https://travis-ci.com/IBM/MAX-Audio-Sample-Generator) [](http://MAX-Audio-Sample-Generator.codait-prod-41208c73af8fca213512856c7a09db52-0000.us-east.containers.appdomain.cloud/) | [](https://github.com/IBM/MAX-Audio-Sample-Generator/releases/latest) |
| | [Speech to Text Converter](https://github.com/IBM/MAX-Speech-to-Text-Converter) | [](https://travis-ci.com/IBM/MAX-Speech-to-Text-Converter) [](http://MAX-Speech-to-Text-Converter.codait-prod-41208c73af8fca213512856c7a09db52-0000.us-east.containers.appdomain.cloud/)| [](https://github.com/IBM/MAX-Speech-to-Text-Converter/releases/latest) |
| Image | [Inception-ResNet-v2](https://github.com/IBM/MAX-Inception-ResNet-v2) | [](https://travis-ci.com/IBM/MAX-Inception-ResNet-v2) [](http://MAX-Inception-ResNet-v2.codait-prod-41208c73af8fca213512856c7a09db52-0000.us-east.containers.appdomain.cloud/)| [](https://github.com/IBM/MAX-Inception-ResNet-v2/releases/latest) |
| | [Image Resolution Enhancer](https://github.com/IBM/MAX-Image-Resolution-Enhancer) | [](https://travis-ci.com/IBM/MAX-Image-Resolution-Enhancer) [](http://MAX-Image-Resolution-Enhancer.codait-prod-41208c73af8fca213512856c7a09db52-0000.us-east.containers.appdomain.cloud/)| [](https://github.com/IBM/MAX-Image-Resolution-Enhancer/releases/latest) |
| | [ResNet-50](https://github.com/IBM/MAX-ResNet-50) | [](https://travis-ci.com/IBM/MAX-ResNet-50) [](http://MAX-ResNet-50.codait-prod-41208c73af8fca213512856c7a09db52-0000.us-east.containers.appdomain.cloud/) | [](https://github.com/IBM/MAX-ResNet-50/releases/latest) |
| | [Image Caption Generator](https://github.com/IBM/MAX-Image-Caption-Generator) | [](https://travis-ci.com/IBM/MAX-Image-Caption-Generator) [](http://MAX-Image-Caption-Generator.codait-prod-41208c73af8fca213512856c7a09db52-0000.us-east.containers.appdomain.cloud/) | [](https://github.com/IBM/MAX-Image-Caption-Generator/releases/latest) |
| | [Image Segmenter](https://github.com/IBM/MAX-Image-Segmenter) | [](https://travis-ci.com/IBM/MAX-Image-Segmenter) [](http://MAX-Image-Segmenter.codait-prod-41208c73af8fca213512856c7a09db52-0000.us-east.containers.appdomain.cloud/) | [](https://github.com/IBM/MAX-Image-Segmenter/releases/latest) |
| | [Image Colorizer](https://github.com/IBM/MAX-Image-Colorizer) | [](https://travis-ci.com/IBM/MAX-Image-Colorizer) [](http://MAX-Image-Colorizer.codait-prod-41208c73af8fca213512856c7a09db52-0000.us-east.containers.appdomain.cloud/) | [](https://github.com/IBM/MAX-Image-Colorizer/releases/latest) |
| | [Object Detector](https://github.com/IBM/MAX-Object-Detector) | [](https://travis-ci.com/IBM/MAX-Object-Detector) [](http://MAX-object-detector.codait-prod-41208c73af8fca213512856c7a09db52-0000.us-east.containers.appdomain.cloud/) | [](https://github.com/IBM/MAX-Object-Detector/releases/latest) |
| | [Fast Neural Style Transfer](https://github.com/IBM/MAX-Fast-Neural-Style-Transfer) | [](https://travis-ci.com/IBM/MAX-Fast-Neural-Style-Transfer) [](http://MAX-Fast-Neural-Style-Transfer.codait-prod-41208c73af8fca213512856c7a09db52-0000.us-east.containers.appdomain.cloud/) | [](https://github.com/IBM/MAX-Fast-Neural-Style-Transfer/releases/latest) |
| | [Breast Cancer Mitosis Detector](https://github.com/IBM/MAX-Breast-Cancer-Mitosis-Detector) | [](https://travis-ci.com/IBM/MAX-Breast-Cancer-Mitosis-Detector) [](http://MAX-Breast-Cancer-Mitosis-Detector.codait-prod-41208c73af8fca213512856c7a09db52-0000.us-east.containers.appdomain.cloud/) | [](https://github.com/IBM/MAX-Breast-Cancer-Mitosis-Detector/releases/latest) |
| | [Scene Classifier](https://github.com/IBM/MAX-Scene-Classifier) | [](https://travis-ci.com/IBM/MAX-Scene-Classifier) [](http://MAX-Scene-Classifier.codait-prod-41208c73af8fca213512856c7a09db52-0000.us-east.containers.appdomain.cloud/) | [](https://github.com/IBM/MAX-Scene-Classifier/releases/latest) |
| | [Human Pose Estimator](https://github.com/IBM/MAX-Human-Pose-Estimator) | [](https://travis-ci.com/IBM/MAX-Human-Pose-Estimator) [](http://MAX-Human-Pose-Estimator.codait-prod-41208c73af8fca213512856c7a09db52-0000.us-east.containers.appdomain.cloud/) | [](https://github.com/IBM/MAX-Human-Pose-Estimator/releases/latest) |
| | [Optical Character Recognition](https://github.com/IBM/MAX-OCR) | [](https://travis-ci.com/IBM/MAX-OCR) [](http://MAX-OCR.codait-prod-41208c73af8fca213512856c7a09db52-0000.us-east.containers.appdomain.cloud/) | [](https://github.com/IBM/MAX-OCR/releases/latest) | |
| Video | [Sports Video Classifier](https://github.com/IBM/MAX-Sports-Video-Classifier) | [](https://travis-ci.com/IBM/MAX-Sports-Video-Classifier) [](http://MAX-Sports-Video-Classifier.codait-prod-41208c73af8fca213512856c7a09db52-0000.us-east.containers.appdomain.cloud/) | [](https://github.com/IBM/MAX-Sports-Video-Classifier/releases/latest) |
| NLP | [Review Text Generator](https://github.com/IBM/MAX-Review-Text-Generator) | [](https://travis-ci.com/IBM/MAX-Review-Text-Generator) [](http://MAX-Review-Text-Generator.codait-prod-41208c73af8fca213512856c7a09db52-0000.us-east.containers.appdomain.cloud/) | [](https://github.com/IBM/MAX-Review-Text-Generator/releases/latest) |
| | [News Text Generator](https://github.com/IBM/MAX-News-Text-Generator) | [](https://travis-ci.com/IBM/MAX-News-Text-Generator) [](http://MAX-News-Text-Generator.codait-prod-41208c73af8fca213512856c7a09db52-0000.us-east.containers.appdomain.cloud/) | [](https://github.com/IBM/MAX-News-Text-Generator/releases/latest) |
| | [Question Answering](https://github.com/IBM/MAX-Question-Answering) | [](https://travis-ci.com/IBM/MAX-Question-Answering) [](http://max-question-answering.codait-prod-41208c73af8fca213512856c7a09db52-0000.us-east.containers.appdomain.cloud/) | [](https://github.com/IBM/MAX-question-answering/releases/latest) |
| | [Text Sentiment Classifier](https://github.com/IBM/MAX-Text-Sentiment-Classifier) | [](https://travis-ci.com/IBM/MAX-Text-Sentiment-Classifier) [](http://MAX-Text-Sentiment-Classifier.codait-prod-41208c73af8fca213512856c7a09db52-0000.us-east.containers.appdomain.cloud/) | [](https://github.com/IBM/MAX-Text-Sentiment-Classifier/releases/latest) |
| | [Toxic Comment Classifier](https://github.com/IBM/MAX-Toxic-Comment-Classifier) | [](https://travis-ci.com/IBM/MAX-Toxic-Comment-Classifier) [](http://MAX-Toxic-Comment-Classifier.codait-prod-41208c73af8fca213512856c7a09db52-0000.us-east.containers.appdomain.cloud/) | [](https://github.com/IBM/MAX-Toxic-Comment-Classifier/releases/latest) |
| | [Named Entity Tagger](https://github.com/IBM/MAX-Named-Entity-Tagger) | [](https://travis-ci.com/IBM/MAX-Named-Entity-Tagger) [](http://MAX-Named-Entity-Tagger.codait-prod-41208c73af8fca213512856c7a09db52-0000.us-east.containers.appdomain.cloud/) | [](https://github.com/IBM/MAX-Named-Entity-Tagger/releases/latest) |
| | [Chinese Phonetic Similarity Estimator](https://github.com/IBM/MAX-Chinese-Phonetic-Similarity-Estimator) | [](https://travis-ci.com/IBM/MAX-Chinese-Phonetic-Similarity-Estimator) [](http://max-chinese-phonetic-similarity-estimator.codait-prod-41208c73af8fca213512856c7a09db52-0000.us-east.containers.appdomain.cloud/) | [](https://github.com/IBM/MAX-Chinese-Phonetic-Similarity-Estimator/releases/latest) |
| | [Text Summarizer](https://github.com/IBM/MAX-Text-Summarizer) | [](https://travis-ci.com/IBM/MAX-Text-Summarizer) [](http://MAX-Text-Summarizer.codait-prod-41208c73af8fca213512856c7a09db52-0000.us-east.containers.appdomain.cloud/) | [](https://github.com/IBM/MAX-Text-Summarizer/releases/latest) |
| | [Word Embedding Generator](https://github.com/IBM/MAX-Word-Embedding-Generator) | | [](https://github.com/IBM/MAX-Word-Embedding-Generator/releases/latest) |
| Weather | [Weather Forecaster](https://github.com/IBM/MAX-Weather-Forecaster) | [](https://travis-ci.com/IBM/MAX-Weather-Forecaster) [](http://MAX-Weather-Forecaster.codait-prod-41208c73af8fca213512856c7a09db52-0000.us-east.containers.appdomain.cloud/) | [](https://github.com/IBM/MAX-Weather-Forecaster/releases/latest) |
### Supporting libraries
| Name | Status | Distributions |
| ---- | ---- | ---- |
| [Node-RED module](https://github.com/CODAIT/node-red-contrib-model-asset-exchange/) | [](https://travis-ci.org/CODAIT/node-red-contrib-model-asset-exchange) | [](https://badge.fury.io/js/node-red-contrib-model-asset-exchange) |
| [MAX-Base](https://github.com/IBM/MAX-Base) | [](https://travis-ci.com/IBM/MAX-Base) | [](https://github.com/IBM/MAX-Base/releases/latest) |
| [MAX Framework](https://github.com/IBM/MAX-Framework) | [](https://travis-ci.com/IBM/MAX-Framework) | [](https://pypi.org/project/maxfw/) |
| [MAX-Skeleton](https://github.com/IBM/MAX-Skeleton) | [](https://travis-ci.com/IBM/MAX-Skeleton) | [](https://github.com/IBM/MAX-Skeleton/releases/latest) |
| [MAX Training Framework](https://github.com/IBM/MAX-Training-Framework) | [](https://travis-ci.com/IBM/MAX-Training-Framework) | [](https://pypi.org/project/max-training-framework/) |
| [MAX Training Skeleton](https://github.com/IBM/MAX-Training-Skeleton) | [](https://travis-ci.com/IBM/MAX-Training-Skeleton) | |
### Demo applications
| Name | Status | Latest Release |
| ---- | ---- | ---- |
| [Question Answering Web App](https://github.com/IBM/MAX-Question-Answering-Web-App) | [](https://travis-ci.com/github/IBM/MAX-Question-Answering-Web-App) [](http://max-question-answering-web-app.codait-prod-41208c73af8fca213512856c7a09db52-0000.us-east.containers.appdomain.cloud/) | [](https://github.com/IBM/MAX-Question-Answering-Web-App/releases/latest) |
| [Image Caption Generator Web App](https://github.com/IBM/MAX-Image-Caption-Generator-Web-App) | [](https://travis-ci.org/IBM/MAX-Image-Caption-Generator-Web-App) [](http://max-image-caption-generator-web-app.codait-prod-41208c73af8fca213512856c7a09db52-0000.us-east.containers.appdomain.cloud) | [](https://github.com/IBM/MAX-Image-Caption-Generator-Web-App/releases/latest) |
| [Object Detector Web App](https://github.com/IBM/MAX-Object-Detector-Web-App) | [](https://travis-ci.org/IBM/MAX-Object-Detector-Web-App) [](http://MAX-object-detector.codait-prod-41208c73af8fca213512856c7a09db52-0000.us-east.containers.appdomain.cloud/app/) | [](https://github.com/IBM/MAX-Object-Detector-Web-App/releases/latest) |
| [Image Segmenter Web App](https://github.com/IBM/MAX-Image-Segmenter-Web-App) | [](https://travis-ci.org/IBM/MAX-Image-Segmenter-Web-App) [](https://codait.github.io/max-photo-booth/) | [](https://github.com/IBM/MAX-Image-Segmenter-Web-App/releases/latest) |
| [Human Pose Estimator](https://github.com/IBM/max-human-pose-estimator-tfjs) | [](https://ibm.github.io/max-human-pose-estimator-tfjs/) | [](https://github.com/IBM/max-human-pose-estimator-tfjs/releases/latest) |
| [Web App skeleton](https://github.com/CODAIT/MAX-Web-App-skeleton) | [](https://travis-ci.org/CODAIT/MAX-Web-App-skeleton) | [](https://github.com/CODAIT/MAX-Web-App-skeleton/releases/latest) |
| [Max Tutorial App - Python](https://github.com/IBM/max-tutorial-app-python) | [](https://travis-ci.org/IBM/max-tutorial-app-python) | [](https://github.com/IBM/max-tutorial-app-python/releases/latest) |
| [Max Tutorial App - NodeJS](https://github.com/IBM/max-tutorial-app-nodejs) | [](https://travis-ci.org/IBM/max-tutorial-app-nodejs) | [](https://github.com/IBM/max-tutorial-app-nodejs/releases/latest) |
gitextract_w0bpt2r4/ ├── .github/ │ └── ISSUE_TEMPLATE/ │ ├── new-model.md │ └── support.md ├── .gitignore ├── CODE_OF_CONDUCT.md ├── MAINTAINERS.md ├── README.md ├── contribution.md └── max-model-status.md
Condensed preview — 8 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (52K chars).
[
{
"path": ".github/ISSUE_TEMPLATE/new-model.md",
"chars": 1678,
"preview": "---\nname: New Model Proposal\nabout: Propose a new model\ntitle: 'name of my new model'\nlabels: 'model-proposal'\nassignees"
},
{
"path": ".github/ISSUE_TEMPLATE/support.md",
"chars": 565,
"preview": "---\nname: Support\nabout: Create a ticket for support\ntitle: 'A brief description of my support question'\nlabels: 'questi"
},
{
"path": ".gitignore",
"chars": 1174,
"preview": ".DS_store\n# Byte-compiled / optimized / DLL files\n__pycache__/\n*.py[cod]\n*$py.class\n\n# C extensions\n*.so\n\n# Distribution"
},
{
"path": "CODE_OF_CONDUCT.md",
"chars": 711,
"preview": "The Model Asset Exchange contributors and maintainers are dedicated to providing a harassment-free experience for everyo"
},
{
"path": "MAINTAINERS.md",
"chars": 412,
"preview": "# Maintainers Guide\n\nFollowing is the current list of maintainers on this project\n\nThe maintainers are listed in alphabe"
},
{
"path": "README.md",
"chars": 17773,
"preview": "<div align=\"center\">\n <img src=\"https://github.com/CODAIT/max-central-repo/raw/master/images/title.png\">\n</div>\n\n\n#\n\n##"
},
{
"path": "contribution.md",
"chars": 2536,
"preview": "# Contribution Guide\n\nThis is an open source project, and we appreciate your help!\n\nGenerally, we expect two maintainers"
},
{
"path": "max-model-status.md",
"chars": 25814,
"preview": "# Model Asset Exchange ecosystem status\n\nCurrent status for the https://developer.ibm.com/exchanges/models/ ecosystem.\n\n"
}
]
About this extraction
This page contains the full source code of the CODAIT/max-central-repo GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 8 files (49.5 KB), approximately 14.3k tokens. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.