Stars
Hearthstone simulator using C++ with some reinforcement learning
A Hearthstone AI based on Monte Carlo tree search and neural nets written in modern C++.
✍️ A static blog writing client (一个静态博客写作客户端)
Monte Carlo Tree Search (MCTS) is a method for finding optimal decisions in a given domain by taking random samples in the decision space and building a search tree accordingly. It has already had …
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (DQN) agent.
Python library for converting Python calculations into rendered latex.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
hill-a / stable-baselines
Forked from openai/baselinesA fork of OpenAI Baselines, implementations of reinforcement learning algorithms
Sticky boxes for contents of all sizes
Questions to ask the company during your interview
Simple and easily configurable grid world environments for reinforcement learning
BabyAI platform. A testbed for training agents to understand and execute language commands.
A flexible, high-performance 3D simulator for Embodied AI research.
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
for eecs 598 class final project
Turn Python scripts into handouts with Markdown and figures
Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
Impementation of MobileNetV2 in pytorch
Twitch Plays AutoChess bot that lets twitch-chat play Dota AutoChess
Style transfer, deep learning, feature transform
The Great 996 Overtime Culture Databases Of Chinese Companies.
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
The PatchCamelyon (PCam) deep learning classification benchmark.