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Google Research
The fastai book, published as Jupyter Notebooks
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Data and code behind the articles and graphics at FiveThirtyEight
A multi-voice TTS system trained with an emphasis on quality
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
QLoRA: Efficient Finetuning of Quantized LLMs
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
this repository accompanies the book "Grokking Deep Learning"
Flax is a neural network library for JAX that is designed for flexibility.
A course on aligning smol models.
Repo for the Deep Reinforcement Learning Nanodegree program
A set of LangChain Tutorials from my youtube channel
The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
A set of LLM Tutorials from my youtube channel
32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
Explore machine learning and data science with Codespaces
Repository for the book Grokking Machine Learning, by Manning Editors
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
Inside Deep Learning: The math, the algorithms, the models
Interactive tutorial to build a learning Mario, for first-time RL learners
Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhury with Ananya Ashok, Sujay Narumanchi, Devashish Shankar).
This repository accompanies the book "Getting Started with Natural Language Processing"
Code and notebook repository for the book Evolutionary Deep Learning by Micheal Lanham