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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, ... 🧠

deep-reinforcement-learning-hands-on-second-edition

Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

diff-gaussian-rasterization

gaussian_splatting_3d

An attempt on implementing 3D gaussian splatting

heheyas

Config files for my GitHub profile.

helloflask

Hello, Flask!

human_aware_rl

Code for "On the Utility of Learning about Humans for Human-AI Coordination"

hw02

高性能并行编程与优化 - 第02讲的回家作业

lifelong-hanabi

A Continual Multi-agent RL testbed based on Hanabi

os-workbench-2022

overcooked-demo

Web application where humans can play Overcooked with AI agents.

overcooked_ai

A benchmark environment for fully cooperative human-AI performance.

practical_rl

A course in reinforcement learning in the wild

pyeit

Python based toolkit for Electrical Impedance Tomography

pymarl

Python Multi-Agent Reinforcement Learning framework

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

slambook2

edition 2 of the slambook

twibot-22

Offical repository of TwiBot-22.

v3d

V3D: Video Diffusion Models are Effective 3D Generators

viser

Web-based 3D visualization + Python