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annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

chainerrl

ChainerRL is a deep reinforcement learning library built on top of Chainer.

dreamer

Dream to Control: Learning Behaviors by Latent Imagination

dreamerv2

Pytorch implementation of Dreamer-v2: Visual Model Based RL Algorithm.

dreamerv2-torch

Pytorch version of Dreamer, which follows the original TF v2 codes.

efficientnet-pytorch

A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

minatar

pydreamer

PyTorch implementation of DreamerV2 model-based RL algorithm

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

ros_autolabor

【奥特学园】ROS机器人入门课程《ROS理论与实践》零基础教程 -- 赵虚左老师