Full Code of karpathy/nn-zero-to-hero for AI

Repository: karpathy/nn-zero-to-hero
Branch: master
Commit: 73c3fcc741f0
Files: 9
Total size: 1.1 MB

Directory structure:
gitextract_c9ohfs4g/

├── LICENSE
├── README.md
└── lectures/
    ├── makemore/
    │   ├── makemore_part1_bigrams.ipynb
    │   ├── makemore_part2_mlp.ipynb
    │   ├── makemore_part3_bn.ipynb
    │   ├── makemore_part4_backprop.ipynb
    │   └── makemore_part5_cnn1.ipynb
    └── micrograd/
        ├── micrograd_lecture_first_half_roughly.ipynb
        └── micrograd_lecture_second_half_roughly.ipynb

================================================
FILE CONTENTS
================================================

================================================
FILE: LICENSE
================================================
MIT License

Copyright (c) 2022 Andrej Karpathy

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.


================================================
FILE: README.md
================================================

## Neural Networks: Zero to Hero

A course on neural networks that starts all the way at the basics. The course is a series of YouTube videos where we code and train neural networks together. The Jupyter notebooks we build in the videos are then captured here inside the [lectures](lectures/) directory. Every lecture also has a set of exercises included in the video description. (This may grow into something more respectable).

---

**Lecture 1: The spelled-out intro to neural networks and backpropagation: building micrograd**

Backpropagation and training of neural networks. Assumes basic knowledge of Python and a vague recollection of calculus from high school.

- [YouTube video lecture](https://www.youtube.com/watch?v=VMj-3S1tku0)
- [Jupyter notebook files](lectures/micrograd)
- [micrograd Github repo](https://github.com/karpathy/micrograd)

---

**Lecture 2: The spelled-out intro to language modeling: building makemore**

We implement a bigram character-level language model, which we will further complexify in followup videos into a modern Transformer language model, like GPT. In this video, the focus is on (1) introducing torch.Tensor and its subtleties and use in efficiently evaluating neural networks and (2) the overall framework of language modeling that includes model training, sampling, and the evaluation of a loss (e.g. the negative log likelihood for classification).

- [YouTube video lecture](https://www.youtube.com/watch?v=PaCmpygFfXo)
- [Jupyter notebook files](lectures/makemore/makemore_part1_bigrams.ipynb)
- [makemore Github repo](https://github.com/karpathy/makemore)

---

**Lecture 3: Building makemore Part 2: MLP**

We implement a multilayer perceptron (MLP) character-level language model. In this video we also introduce many basics of machine learning (e.g. model training, learning rate tuning, hyperparameters, evaluation, train/dev/test splits, under/overfitting, etc.).

- [YouTube video lecture](https://youtu.be/TCH_1BHY58I)
- [Jupyter notebook files](lectures/makemore/makemore_part2_mlp.ipynb)
- [makemore Github repo](https://github.com/karpathy/makemore)

---

**Lecture 4: Building makemore Part 3: Activations & Gradients, BatchNorm**

We dive into some of the internals of MLPs with multiple layers and scrutinize the statistics of the forward pass activations, backward pass gradients, and some of the pitfalls when they are improperly scaled. We also look at the typical diagnostic tools and visualizations you'd want to use to understand the health of your deep network. We learn why training deep neural nets can be fragile and introduce the first modern innovation that made doing so much easier: Batch Normalization. Residual connections and the Adam optimizer remain notable todos for later video.

- [YouTube video lecture](https://youtu.be/P6sfmUTpUmc)
- [Jupyter notebook files](lectures/makemore/makemore_part3_bn.ipynb)
- [makemore Github repo](https://github.com/karpathy/makemore)

---

**Lecture 5: Building makemore Part 4: Becoming a Backprop Ninja**

We take the 2-layer MLP (with BatchNorm) from the previous video and backpropagate through it manually without using PyTorch autograd's loss.backward(). That is, we backprop through the cross entropy loss, 2nd linear layer, tanh, batchnorm, 1st linear layer, and the embedding table. Along the way, we get an intuitive understanding about how gradients flow backwards through the compute graph and on the level of efficient Tensors, not just individual scalars like in micrograd. This helps build competence and intuition around how neural nets are optimized and sets you up to more confidently innovate on and debug modern neural networks.

I recommend you work through the exercise yourself but work with it in tandem and whenever you are stuck unpause the video and see me give away the answer. This video is not super intended to be simply watched. The exercise is [here as a Google Colab](https://colab.research.google.com/drive/1WV2oi2fh9XXyldh02wupFQX0wh5ZC-z-?usp=sharing). Good luck :)

- [YouTube video lecture](https://youtu.be/q8SA3rM6ckI)
- [Jupyter notebook files](lectures/makemore/makemore_part4_backprop.ipynb)
- [makemore Github repo](https://github.com/karpathy/makemore)

---

**Lecture 6: Building makemore Part 5: Building WaveNet**

We take the 2-layer MLP from previous video and make it deeper with a tree-like structure, arriving at a convolutional neural network architecture similar to the WaveNet (2016) from DeepMind. In the WaveNet paper, the same hierarchical architecture is implemented more efficiently using causal dilated convolutions (not yet covered). Along the way we get a better sense of torch.nn and what it is and how it works under the hood, and what a typical deep learning development process looks like (a lot of reading of documentation, keeping track of multidimensional tensor shapes, moving between jupyter notebooks and repository code, ...).

- [YouTube video lecture](https://youtu.be/t3YJ5hKiMQ0)
- [Jupyter notebook files](lectures/makemore/makemore_part5_cnn1.ipynb)

---


**Lecture 7: Let's build GPT: from scratch, in code, spelled out.**

We build a Generatively Pretrained Transformer (GPT), following the paper "Attention is All You Need" and OpenAI's GPT-2 / GPT-3. We talk about connections to ChatGPT, which has taken the world by storm. We watch GitHub Copilot, itself a GPT, help us write a GPT (meta :D!) . I recommend people watch the earlier makemore videos to get comfortable with the autoregressive language modeling framework and basics of tensors and PyTorch nn, which we take for granted in this video.

- [YouTube video lecture](https://www.youtube.com/watch?v=kCc8FmEb1nY). For all other links see the video description.

---

**Lecture 8: Let's build the GPT Tokenizer**

The Tokenizer is a necessary and pervasive component of Large Language Models (LLMs), where it translates between strings and tokens (text chunks). Tokenizers are a completely separate stage of the LLM pipeline: they have their own training sets, training algorithms (Byte Pair Encoding), and after training implement two fundamental functions: encode() from strings to tokens, and decode() back from tokens to strings. In this lecture we build from scratch the Tokenizer used in the GPT series from OpenAI. In the process, we will see that a lot of weird behaviors and problems of LLMs actually trace back to tokenization. We'll go through a number of these issues, discuss why tokenization is at fault, and why someone out there ideally finds a way to delete this stage entirely.

- [YouTube video lecture](https://www.youtube.com/watch?v=zduSFxRajkE)
- [minBPE code](https://github.com/karpathy/minbpe)
- [Google Colab](https://colab.research.google.com/drive/1y0KnCFZvGVf_odSfcNAws6kcDD7HsI0L?usp=sharing)

---

Ongoing...

**License**

MIT

================================================
FILE: lectures/makemore/makemore_part1_bigrams.ipynb
================================================
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "words = open('names.txt', 'r').read().splitlines()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['emma',\n",
       " 'olivia',\n",
       " 'ava',\n",
       " 'isabella',\n",
       " 'sophia',\n",
       " 'charlotte',\n",
       " 'mia',\n",
       " 'amelia',\n",
       " 'harper',\n",
       " 'evelyn']"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "words[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "32033"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(words)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "min(len(w) for w in words)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "15"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "max(len(w) for w in words)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "b = {}\n",
    "for w in words:\n",
    "  chs = ['<S>'] + list(w) + ['<E>']\n",
    "  for ch1, ch2 in zip(chs, chs[1:]):\n",
    "    bigram = (ch1, ch2)\n",
    "    b[bigram] = b.get(bigram, 0) + 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(('n', '<E>'), 6763),\n",
       " (('a', '<E>'), 6640),\n",
       " (('a', 'n'), 5438),\n",
       " (('<S>', 'a'), 4410),\n",
       " (('e', '<E>'), 3983),\n",
       " (('a', 'r'), 3264),\n",
       " (('e', 'l'), 3248),\n",
       " (('r', 'i'), 3033),\n",
       " (('n', 'a'), 2977),\n",
       " (('<S>', 'k'), 2963),\n",
       " (('l', 'e'), 2921),\n",
       " (('e', 'n'), 2675),\n",
       " (('l', 'a'), 2623),\n",
       " (('m', 'a'), 2590),\n",
       " (('<S>', 'm'), 2538),\n",
       " (('a', 'l'), 2528),\n",
       " (('i', '<E>'), 2489),\n",
       " (('l', 'i'), 2480),\n",
       " (('i', 'a'), 2445),\n",
       " (('<S>', 'j'), 2422),\n",
       " (('o', 'n'), 2411),\n",
       " (('h', '<E>'), 2409),\n",
       " (('r', 'a'), 2356),\n",
       " (('a', 'h'), 2332),\n",
       " (('h', 'a'), 2244),\n",
       " (('y', 'a'), 2143),\n",
       " (('i', 'n'), 2126),\n",
       " (('<S>', 's'), 2055),\n",
       " (('a', 'y'), 2050),\n",
       " (('y', '<E>'), 2007),\n",
       " (('e', 'r'), 1958),\n",
       " (('n', 'n'), 1906),\n",
       " (('y', 'n'), 1826),\n",
       " (('k', 'a'), 1731),\n",
       " (('n', 'i'), 1725),\n",
       " (('r', 'e'), 1697),\n",
       " (('<S>', 'd'), 1690),\n",
       " (('i', 'e'), 1653),\n",
       " (('a', 'i'), 1650),\n",
       " (('<S>', 'r'), 1639),\n",
       " (('a', 'm'), 1634),\n",
       " (('l', 'y'), 1588),\n",
       " (('<S>', 'l'), 1572),\n",
       " (('<S>', 'c'), 1542),\n",
       " (('<S>', 'e'), 1531),\n",
       " (('j', 'a'), 1473),\n",
       " (('r', '<E>'), 1377),\n",
       " (('n', 'e'), 1359),\n",
       " (('l', 'l'), 1345),\n",
       " (('i', 'l'), 1345),\n",
       " (('i', 's'), 1316),\n",
       " (('l', '<E>'), 1314),\n",
       " (('<S>', 't'), 1308),\n",
       " (('<S>', 'b'), 1306),\n",
       " (('d', 'a'), 1303),\n",
       " (('s', 'h'), 1285),\n",
       " (('d', 'e'), 1283),\n",
       " (('e', 'e'), 1271),\n",
       " (('m', 'i'), 1256),\n",
       " (('s', 'a'), 1201),\n",
       " (('s', '<E>'), 1169),\n",
       " (('<S>', 'n'), 1146),\n",
       " (('a', 's'), 1118),\n",
       " (('y', 'l'), 1104),\n",
       " (('e', 'y'), 1070),\n",
       " (('o', 'r'), 1059),\n",
       " (('a', 'd'), 1042),\n",
       " (('t', 'a'), 1027),\n",
       " (('<S>', 'z'), 929),\n",
       " (('v', 'i'), 911),\n",
       " (('k', 'e'), 895),\n",
       " (('s', 'e'), 884),\n",
       " (('<S>', 'h'), 874),\n",
       " (('r', 'o'), 869),\n",
       " (('e', 's'), 861),\n",
       " (('z', 'a'), 860),\n",
       " (('o', '<E>'), 855),\n",
       " (('i', 'r'), 849),\n",
       " (('b', 'r'), 842),\n",
       " (('a', 'v'), 834),\n",
       " (('m', 'e'), 818),\n",
       " (('e', 'i'), 818),\n",
       " (('c', 'a'), 815),\n",
       " (('i', 'y'), 779),\n",
       " (('r', 'y'), 773),\n",
       " (('e', 'm'), 769),\n",
       " (('s', 't'), 765),\n",
       " (('h', 'i'), 729),\n",
       " (('t', 'e'), 716),\n",
       " (('n', 'd'), 704),\n",
       " (('l', 'o'), 692),\n",
       " (('a', 'e'), 692),\n",
       " (('a', 't'), 687),\n",
       " (('s', 'i'), 684),\n",
       " (('e', 'a'), 679),\n",
       " (('d', 'i'), 674),\n",
       " (('h', 'e'), 674),\n",
       " (('<S>', 'g'), 669),\n",
       " (('t', 'o'), 667),\n",
       " (('c', 'h'), 664),\n",
       " (('b', 'e'), 655),\n",
       " (('t', 'h'), 647),\n",
       " (('v', 'a'), 642),\n",
       " (('o', 'l'), 619),\n",
       " (('<S>', 'i'), 591),\n",
       " (('i', 'o'), 588),\n",
       " (('e', 't'), 580),\n",
       " (('v', 'e'), 568),\n",
       " (('a', 'k'), 568),\n",
       " (('a', 'a'), 556),\n",
       " (('c', 'e'), 551),\n",
       " (('a', 'b'), 541),\n",
       " (('i', 't'), 541),\n",
       " (('<S>', 'y'), 535),\n",
       " (('t', 'i'), 532),\n",
       " (('s', 'o'), 531),\n",
       " (('m', '<E>'), 516),\n",
       " (('d', '<E>'), 516),\n",
       " (('<S>', 'p'), 515),\n",
       " (('i', 'c'), 509),\n",
       " (('k', 'i'), 509),\n",
       " (('o', 's'), 504),\n",
       " (('n', 'o'), 496),\n",
       " (('t', '<E>'), 483),\n",
       " (('j', 'o'), 479),\n",
       " (('u', 's'), 474),\n",
       " (('a', 'c'), 470),\n",
       " (('n', 'y'), 465),\n",
       " (('e', 'v'), 463),\n",
       " (('s', 's'), 461),\n",
       " (('m', 'o'), 452),\n",
       " (('i', 'k'), 445),\n",
       " (('n', 't'), 443),\n",
       " (('i', 'd'), 440),\n",
       " (('j', 'e'), 440),\n",
       " (('a', 'z'), 435),\n",
       " (('i', 'g'), 428),\n",
       " (('i', 'm'), 427),\n",
       " (('r', 'r'), 425),\n",
       " (('d', 'r'), 424),\n",
       " (('<S>', 'f'), 417),\n",
       " (('u', 'r'), 414),\n",
       " (('r', 'l'), 413),\n",
       " (('y', 's'), 401),\n",
       " (('<S>', 'o'), 394),\n",
       " (('e', 'd'), 384),\n",
       " (('a', 'u'), 381),\n",
       " (('c', 'o'), 380),\n",
       " (('k', 'y'), 379),\n",
       " (('d', 'o'), 378),\n",
       " (('<S>', 'v'), 376),\n",
       " (('t', 't'), 374),\n",
       " (('z', 'e'), 373),\n",
       " (('z', 'i'), 364),\n",
       " (('k', '<E>'), 363),\n",
       " (('g', 'h'), 360),\n",
       " (('t', 'r'), 352),\n",
       " (('k', 'o'), 344),\n",
       " (('t', 'y'), 341),\n",
       " (('g', 'e'), 334),\n",
       " (('g', 'a'), 330),\n",
       " (('l', 'u'), 324),\n",
       " (('b', 'a'), 321),\n",
       " (('d', 'y'), 317),\n",
       " (('c', 'k'), 316),\n",
       " (('<S>', 'w'), 307),\n",
       " (('k', 'h'), 307),\n",
       " (('u', 'l'), 301),\n",
       " (('y', 'e'), 301),\n",
       " (('y', 'r'), 291),\n",
       " (('m', 'y'), 287),\n",
       " (('h', 'o'), 287),\n",
       " (('w', 'a'), 280),\n",
       " (('s', 'l'), 279),\n",
       " (('n', 's'), 278),\n",
       " (('i', 'z'), 277),\n",
       " (('u', 'n'), 275),\n",
       " (('o', 'u'), 275),\n",
       " (('n', 'g'), 273),\n",
       " (('y', 'd'), 272),\n",
       " (('c', 'i'), 271),\n",
       " (('y', 'o'), 271),\n",
       " (('i', 'v'), 269),\n",
       " (('e', 'o'), 269),\n",
       " (('o', 'm'), 261),\n",
       " (('r', 'u'), 252),\n",
       " (('f', 'a'), 242),\n",
       " (('b', 'i'), 217),\n",
       " (('s', 'y'), 215),\n",
       " (('n', 'c'), 213),\n",
       " (('h', 'y'), 213),\n",
       " (('p', 'a'), 209),\n",
       " (('r', 't'), 208),\n",
       " (('q', 'u'), 206),\n",
       " (('p', 'h'), 204),\n",
       " (('h', 'r'), 204),\n",
       " (('j', 'u'), 202),\n",
       " (('g', 'r'), 201),\n",
       " (('p', 'e'), 197),\n",
       " (('n', 'l'), 195),\n",
       " (('y', 'i'), 192),\n",
       " (('g', 'i'), 190),\n",
       " (('o', 'd'), 190),\n",
       " (('r', 's'), 190),\n",
       " (('r', 'd'), 187),\n",
       " (('h', 'l'), 185),\n",
       " (('s', 'u'), 185),\n",
       " (('a', 'x'), 182),\n",
       " (('e', 'z'), 181),\n",
       " (('e', 'k'), 178),\n",
       " (('o', 'v'), 176),\n",
       " (('a', 'j'), 175),\n",
       " (('o', 'h'), 171),\n",
       " (('u', 'e'), 169),\n",
       " (('m', 'm'), 168),\n",
       " (('a', 'g'), 168),\n",
       " (('h', 'u'), 166),\n",
       " (('x', '<E>'), 164),\n",
       " (('u', 'a'), 163),\n",
       " (('r', 'm'), 162),\n",
       " (('a', 'w'), 161),\n",
       " (('f', 'i'), 160),\n",
       " (('z', '<E>'), 160),\n",
       " (('u', '<E>'), 155),\n",
       " (('u', 'm'), 154),\n",
       " (('e', 'c'), 153),\n",
       " (('v', 'o'), 153),\n",
       " (('e', 'h'), 152),\n",
       " (('p', 'r'), 151),\n",
       " (('d', 'd'), 149),\n",
       " (('o', 'a'), 149),\n",
       " (('w', 'e'), 149),\n",
       " (('w', 'i'), 148),\n",
       " (('y', 'm'), 148),\n",
       " (('z', 'y'), 147),\n",
       " (('n', 'z'), 145),\n",
       " (('y', 'u'), 141),\n",
       " (('r', 'n'), 140),\n",
       " (('o', 'b'), 140),\n",
       " (('k', 'l'), 139),\n",
       " (('m', 'u'), 139),\n",
       " (('l', 'd'), 138),\n",
       " (('h', 'n'), 138),\n",
       " (('u', 'd'), 136),\n",
       " (('<S>', 'x'), 134),\n",
       " (('t', 'l'), 134),\n",
       " (('a', 'f'), 134),\n",
       " (('o', 'e'), 132),\n",
       " (('e', 'x'), 132),\n",
       " (('e', 'g'), 125),\n",
       " (('f', 'e'), 123),\n",
       " (('z', 'l'), 123),\n",
       " (('u', 'i'), 121),\n",
       " (('v', 'y'), 121),\n",
       " (('e', 'b'), 121),\n",
       " (('r', 'h'), 121),\n",
       " (('j', 'i'), 119),\n",
       " (('o', 't'), 118),\n",
       " (('d', 'h'), 118),\n",
       " (('h', 'm'), 117),\n",
       " (('c', 'l'), 116),\n",
       " (('o', 'o'), 115),\n",
       " (('y', 'c'), 115),\n",
       " (('o', 'w'), 114),\n",
       " (('o', 'c'), 114),\n",
       " (('f', 'r'), 114),\n",
       " (('b', '<E>'), 114),\n",
       " (('m', 'b'), 112),\n",
       " (('z', 'o'), 110),\n",
       " (('i', 'b'), 110),\n",
       " (('i', 'u'), 109),\n",
       " (('k', 'r'), 109),\n",
       " (('g', '<E>'), 108),\n",
       " (('y', 'v'), 106),\n",
       " (('t', 'z'), 105),\n",
       " (('b', 'o'), 105),\n",
       " (('c', 'y'), 104),\n",
       " (('y', 't'), 104),\n",
       " (('u', 'b'), 103),\n",
       " (('u', 'c'), 103),\n",
       " (('x', 'a'), 103),\n",
       " (('b', 'l'), 103),\n",
       " (('o', 'y'), 103),\n",
       " (('x', 'i'), 102),\n",
       " (('i', 'f'), 101),\n",
       " (('r', 'c'), 99),\n",
       " (('c', '<E>'), 97),\n",
       " (('m', 'r'), 97),\n",
       " (('n', 'u'), 96),\n",
       " (('o', 'p'), 95),\n",
       " (('i', 'h'), 95),\n",
       " (('k', 's'), 95),\n",
       " (('l', 's'), 94),\n",
       " (('u', 'k'), 93),\n",
       " (('<S>', 'q'), 92),\n",
       " (('d', 'u'), 92),\n",
       " (('s', 'm'), 90),\n",
       " (('r', 'k'), 90),\n",
       " (('i', 'x'), 89),\n",
       " (('v', '<E>'), 88),\n",
       " (('y', 'k'), 86),\n",
       " (('u', 'w'), 86),\n",
       " (('g', 'u'), 85),\n",
       " (('b', 'y'), 83),\n",
       " (('e', 'p'), 83),\n",
       " (('g', 'o'), 83),\n",
       " (('s', 'k'), 82),\n",
       " (('u', 't'), 82),\n",
       " (('a', 'p'), 82),\n",
       " (('e', 'f'), 82),\n",
       " (('i', 'i'), 82),\n",
       " (('r', 'v'), 80),\n",
       " (('f', '<E>'), 80),\n",
       " (('t', 'u'), 78),\n",
       " (('y', 'z'), 78),\n",
       " (('<S>', 'u'), 78),\n",
       " (('l', 't'), 77),\n",
       " (('r', 'g'), 76),\n",
       " (('c', 'r'), 76),\n",
       " (('i', 'j'), 76),\n",
       " (('w', 'y'), 73),\n",
       " (('z', 'u'), 73),\n",
       " (('l', 'v'), 72),\n",
       " (('h', 't'), 71),\n",
       " (('j', '<E>'), 71),\n",
       " (('x', 't'), 70),\n",
       " (('o', 'i'), 69),\n",
       " (('e', 'u'), 69),\n",
       " (('o', 'k'), 68),\n",
       " (('b', 'd'), 65),\n",
       " (('a', 'o'), 63),\n",
       " (('p', 'i'), 61),\n",
       " (('s', 'c'), 60),\n",
       " (('d', 'l'), 60),\n",
       " (('l', 'm'), 60),\n",
       " (('a', 'q'), 60),\n",
       " (('f', 'o'), 60),\n",
       " (('p', 'o'), 59),\n",
       " (('n', 'k'), 58),\n",
       " (('w', 'n'), 58),\n",
       " (('u', 'h'), 58),\n",
       " (('e', 'j'), 55),\n",
       " (('n', 'v'), 55),\n",
       " (('s', 'r'), 55),\n",
       " (('o', 'z'), 54),\n",
       " (('i', 'p'), 53),\n",
       " (('l', 'b'), 52),\n",
       " (('i', 'q'), 52),\n",
       " (('w', '<E>'), 51),\n",
       " (('m', 'c'), 51),\n",
       " (('s', 'p'), 51),\n",
       " (('e', 'w'), 50),\n",
       " (('k', 'u'), 50),\n",
       " (('v', 'r'), 48),\n",
       " (('u', 'g'), 47),\n",
       " (('o', 'x'), 45),\n",
       " (('u', 'z'), 45),\n",
       " (('z', 'z'), 45),\n",
       " (('j', 'h'), 45),\n",
       " (('b', 'u'), 45),\n",
       " (('o', 'g'), 44),\n",
       " (('n', 'r'), 44),\n",
       " (('f', 'f'), 44),\n",
       " (('n', 'j'), 44),\n",
       " (('z', 'h'), 43),\n",
       " (('c', 'c'), 42),\n",
       " (('r', 'b'), 41),\n",
       " (('x', 'o'), 41),\n",
       " (('b', 'h'), 41),\n",
       " (('p', 'p'), 39),\n",
       " (('x', 'l'), 39),\n",
       " (('h', 'v'), 39),\n",
       " (('b', 'b'), 38),\n",
       " (('m', 'p'), 38),\n",
       " (('x', 'x'), 38),\n",
       " (('u', 'v'), 37),\n",
       " (('x', 'e'), 36),\n",
       " (('w', 'o'), 36),\n",
       " (('c', 't'), 35),\n",
       " (('z', 'm'), 35),\n",
       " (('t', 's'), 35),\n",
       " (('m', 's'), 35),\n",
       " (('c', 'u'), 35),\n",
       " (('o', 'f'), 34),\n",
       " (('u', 'x'), 34),\n",
       " (('k', 'w'), 34),\n",
       " (('p', '<E>'), 33),\n",
       " (('g', 'l'), 32),\n",
       " (('z', 'r'), 32),\n",
       " (('d', 'n'), 31),\n",
       " (('g', 't'), 31),\n",
       " (('g', 'y'), 31),\n",
       " (('h', 's'), 31),\n",
       " (('x', 's'), 31),\n",
       " (('g', 's'), 30),\n",
       " (('x', 'y'), 30),\n",
       " (('y', 'g'), 30),\n",
       " (('d', 'm'), 30),\n",
       " (('d', 's'), 29),\n",
       " (('h', 'k'), 29),\n",
       " (('y', 'x'), 28),\n",
       " (('q', '<E>'), 28),\n",
       " (('g', 'n'), 27),\n",
       " (('y', 'b'), 27),\n",
       " (('g', 'w'), 26),\n",
       " (('n', 'h'), 26),\n",
       " (('k', 'n'), 26),\n",
       " (('g', 'g'), 25),\n",
       " (('d', 'g'), 25),\n",
       " (('l', 'c'), 25),\n",
       " (('r', 'j'), 25),\n",
       " (('w', 'u'), 25),\n",
       " (('l', 'k'), 24),\n",
       " (('m', 'd'), 24),\n",
       " (('s', 'w'), 24),\n",
       " (('s', 'n'), 24),\n",
       " (('h', 'd'), 24),\n",
       " (('w', 'h'), 23),\n",
       " (('y', 'j'), 23),\n",
       " (('y', 'y'), 23),\n",
       " (('r', 'z'), 23),\n",
       " (('d', 'w'), 23),\n",
       " (('w', 'r'), 22),\n",
       " (('t', 'n'), 22),\n",
       " (('l', 'f'), 22),\n",
       " (('y', 'h'), 22),\n",
       " (('r', 'w'), 21),\n",
       " (('s', 'b'), 21),\n",
       " (('m', 'n'), 20),\n",
       " (('f', 'l'), 20),\n",
       " (('w', 's'), 20),\n",
       " (('k', 'k'), 20),\n",
       " (('h', 'z'), 20),\n",
       " (('g', 'd'), 19),\n",
       " (('l', 'h'), 19),\n",
       " (('n', 'm'), 19),\n",
       " (('x', 'z'), 19),\n",
       " (('u', 'f'), 19),\n",
       " (('f', 't'), 18),\n",
       " (('l', 'r'), 18),\n",
       " (('p', 't'), 17),\n",
       " (('t', 'c'), 17),\n",
       " (('k', 't'), 17),\n",
       " (('d', 'v'), 17),\n",
       " (('u', 'p'), 16),\n",
       " (('p', 'l'), 16),\n",
       " (('l', 'w'), 16),\n",
       " (('p', 's'), 16),\n",
       " (('o', 'j'), 16),\n",
       " (('r', 'q'), 16),\n",
       " (('y', 'p'), 15),\n",
       " (('l', 'p'), 15),\n",
       " (('t', 'v'), 15),\n",
       " (('r', 'p'), 14),\n",
       " (('l', 'n'), 14),\n",
       " (('e', 'q'), 14),\n",
       " (('f', 'y'), 14),\n",
       " (('s', 'v'), 14),\n",
       " (('u', 'j'), 14),\n",
       " (('v', 'l'), 14),\n",
       " (('q', 'a'), 13),\n",
       " (('u', 'y'), 13),\n",
       " (('q', 'i'), 13),\n",
       " (('w', 'l'), 13),\n",
       " (('p', 'y'), 12),\n",
       " (('y', 'f'), 12),\n",
       " (('c', 'q'), 11),\n",
       " (('j', 'r'), 11),\n",
       " (('n', 'w'), 11),\n",
       " (('n', 'f'), 11),\n",
       " (('t', 'w'), 11),\n",
       " (('m', 'z'), 11),\n",
       " (('u', 'o'), 10),\n",
       " (('f', 'u'), 10),\n",
       " (('l', 'z'), 10),\n",
       " (('h', 'w'), 10),\n",
       " (('u', 'q'), 10),\n",
       " (('j', 'y'), 10),\n",
       " (('s', 'z'), 10),\n",
       " (('s', 'd'), 9),\n",
       " (('j', 'l'), 9),\n",
       " (('d', 'j'), 9),\n",
       " (('k', 'm'), 9),\n",
       " (('r', 'f'), 9),\n",
       " (('h', 'j'), 9),\n",
       " (('v', 'n'), 8),\n",
       " (('n', 'b'), 8),\n",
       " (('i', 'w'), 8),\n",
       " (('h', 'b'), 8),\n",
       " (('b', 's'), 8),\n",
       " (('w', 't'), 8),\n",
       " (('w', 'd'), 8),\n",
       " (('v', 'v'), 7),\n",
       " (('v', 'u'), 7),\n",
       " (('j', 's'), 7),\n",
       " (('m', 'j'), 7),\n",
       " (('f', 's'), 6),\n",
       " (('l', 'g'), 6),\n",
       " (('l', 'j'), 6),\n",
       " (('j', 'w'), 6),\n",
       " (('n', 'x'), 6),\n",
       " (('y', 'q'), 6),\n",
       " (('w', 'k'), 6),\n",
       " (('g', 'm'), 6),\n",
       " (('x', 'u'), 5),\n",
       " (('m', 'h'), 5),\n",
       " (('m', 'l'), 5),\n",
       " (('j', 'm'), 5),\n",
       " (('c', 's'), 5),\n",
       " (('j', 'v'), 5),\n",
       " (('n', 'p'), 5),\n",
       " (('d', 'f'), 5),\n",
       " (('x', 'd'), 5),\n",
       " (('z', 'b'), 4),\n",
       " (('f', 'n'), 4),\n",
       " (('x', 'c'), 4),\n",
       " (('m', 't'), 4),\n",
       " (('t', 'm'), 4),\n",
       " (('z', 'n'), 4),\n",
       " (('z', 't'), 4),\n",
       " (('p', 'u'), 4),\n",
       " (('c', 'z'), 4),\n",
       " (('b', 'n'), 4),\n",
       " (('z', 's'), 4),\n",
       " (('f', 'w'), 4),\n",
       " (('d', 't'), 4),\n",
       " (('j', 'd'), 4),\n",
       " (('j', 'c'), 4),\n",
       " (('y', 'w'), 4),\n",
       " (('v', 'k'), 3),\n",
       " (('x', 'w'), 3),\n",
       " (('t', 'j'), 3),\n",
       " (('c', 'j'), 3),\n",
       " (('q', 'w'), 3),\n",
       " (('g', 'b'), 3),\n",
       " (('o', 'q'), 3),\n",
       " (('r', 'x'), 3),\n",
       " (('d', 'c'), 3),\n",
       " (('g', 'j'), 3),\n",
       " (('x', 'f'), 3),\n",
       " (('z', 'w'), 3),\n",
       " (('d', 'k'), 3),\n",
       " (('u', 'u'), 3),\n",
       " (('m', 'v'), 3),\n",
       " (('c', 'x'), 3),\n",
       " (('l', 'q'), 3),\n",
       " (('p', 'b'), 2),\n",
       " (('t', 'g'), 2),\n",
       " (('q', 's'), 2),\n",
       " (('t', 'x'), 2),\n",
       " (('f', 'k'), 2),\n",
       " (('b', 't'), 2),\n",
       " (('j', 'n'), 2),\n",
       " (('k', 'c'), 2),\n",
       " (('z', 'k'), 2),\n",
       " (('s', 'j'), 2),\n",
       " (('s', 'f'), 2),\n",
       " (('z', 'j'), 2),\n",
       " (('n', 'q'), 2),\n",
       " (('f', 'z'), 2),\n",
       " (('h', 'g'), 2),\n",
       " (('w', 'w'), 2),\n",
       " (('k', 'j'), 2),\n",
       " (('j', 'k'), 2),\n",
       " (('w', 'm'), 2),\n",
       " (('z', 'c'), 2),\n",
       " (('z', 'v'), 2),\n",
       " (('w', 'f'), 2),\n",
       " (('q', 'm'), 2),\n",
       " (('k', 'z'), 2),\n",
       " (('j', 'j'), 2),\n",
       " (('z', 'p'), 2),\n",
       " (('j', 't'), 2),\n",
       " (('k', 'b'), 2),\n",
       " (('m', 'w'), 2),\n",
       " (('h', 'f'), 2),\n",
       " (('c', 'g'), 2),\n",
       " (('t', 'f'), 2),\n",
       " (('h', 'c'), 2),\n",
       " (('q', 'o'), 2),\n",
       " (('k', 'd'), 2),\n",
       " (('k', 'v'), 2),\n",
       " (('s', 'g'), 2),\n",
       " (('z', 'd'), 2),\n",
       " (('q', 'r'), 1),\n",
       " (('d', 'z'), 1),\n",
       " (('p', 'j'), 1),\n",
       " (('q', 'l'), 1),\n",
       " (('p', 'f'), 1),\n",
       " (('q', 'e'), 1),\n",
       " (('b', 'c'), 1),\n",
       " (('c', 'd'), 1),\n",
       " (('m', 'f'), 1),\n",
       " (('p', 'n'), 1),\n",
       " (('w', 'b'), 1),\n",
       " (('p', 'c'), 1),\n",
       " (('h', 'p'), 1),\n",
       " (('f', 'h'), 1),\n",
       " (('b', 'j'), 1),\n",
       " (('f', 'g'), 1),\n",
       " (('z', 'g'), 1),\n",
       " (('c', 'p'), 1),\n",
       " (('p', 'k'), 1),\n",
       " (('p', 'm'), 1),\n",
       " (('x', 'n'), 1),\n",
       " (('s', 'q'), 1),\n",
       " (('k', 'f'), 1),\n",
       " (('m', 'k'), 1),\n",
       " (('x', 'h'), 1),\n",
       " (('g', 'f'), 1),\n",
       " (('v', 'b'), 1),\n",
       " (('j', 'p'), 1),\n",
       " (('g', 'z'), 1),\n",
       " (('v', 'd'), 1),\n",
       " (('d', 'b'), 1),\n",
       " (('v', 'h'), 1),\n",
       " (('h', 'h'), 1),\n",
       " (('g', 'v'), 1),\n",
       " (('d', 'q'), 1),\n",
       " (('x', 'b'), 1),\n",
       " (('w', 'z'), 1),\n",
       " (('h', 'q'), 1),\n",
       " (('j', 'b'), 1),\n",
       " (('x', 'm'), 1),\n",
       " (('w', 'g'), 1),\n",
       " (('t', 'b'), 1),\n",
       " (('z', 'x'), 1)]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted(b.items(), key = lambda kv: -kv[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 365,
   "metadata": {},
   "outputs": [],
   "source": [
    "N = torch.zeros((27, 27), dtype=torch.int32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 366,
   "metadata": {},
   "outputs": [],
   "source": [
    "chars = sorted(list(set(''.join(words))))\n",
    "stoi = {s:i+1 for i,s in enumerate(chars)}\n",
    "stoi['.'] = 0\n",
    "itos = {i:s for s,i in stoi.items()}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 367,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "for w in words:\n",
    "  chs = ['.'] + list(w) + ['.']\n",
    "  for ch1, ch2 in zip(chs, chs[1:]):\n",
    "    ix1 = stoi[ch1]\n",
    "    ix2 = stoi[ch2]\n",
    "    N[ix1, ix2] += 1\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 368,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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