Natural Language Processing
raiyanyahya/how-to-train-your-gpt
▲ +6 ★ this week
Build a modern LLM from scratch. Every line commented. Explained like we are five.
🤖 Language Models
Jupyter NotebookMITupdated Oct 26, 2026
🏆 #3,416 overall#1213 of 2,559 in Natural Language Processing
HenryNdubuaku /nanodl
JAX library for training sub-4B foundation models for edge
$ git clone https://github.com/HenryNdubuaku/nanodl.gitStars
307
307
This week
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Forks
12
12
Language
Python
License
MIT
Created
Aug 22, 2023
3.2 years old
Last push
Aug 28, 2024
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Natural Language Processing
sinanuozdemir/foundations-of-gen-ai
Transformer Architectures for Generative AI
Jupyter Notebookno licenseupdated Jul 23, 2025
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young-geng/EasyLM
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
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rasbt/LLMs-from-scratch🔥 active
▲ +435 ★ this week
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
🤖 Language Models✂️ Tokenization & Preprocessing
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▲ +65 ★ this week
Learn how to develop, deploy and iterate on production-grade ML applications.
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d2l-ai/d2l-en
▲ +34 ★ this week
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
PythonOtherupdated Aug 18, 2024
Data from GitHub · snapshot Nov 13, 2026