Popular GitHub Repositories for Dqn Jax

? Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

??? 60+ Implementations/tutorials of deep learning papers with side-by-side notes ?; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ? reinforcement learning (ppo, dqn), capsnet, distillation, ... ?

Deep Learning for humans

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

? Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

? A ranked list of awesome machine learning Python libraries. Updated weekly.

强化学习中文教程（蘑菇书?），在线阅读地址：https://datawhalechina.github.io/easy-rl/

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

An elegant PyTorch deep reinforcement learning library.

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Trax — Deep Learning with Clear Code and Speed

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

Flax is a neural network library for JAX that is designed for flexibility.

Python code for "Probabilistic Machine learning" book by Kevin Murphy

JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning