yanzheb's Stars
omnivore-app/omnivore
Omnivore is a complete, open source read-it-later solution for people who like reading.
kornia/kornia
Geometric Computer Vision Library for Spatial AI
benbusby/whoogle-search
A self-hosted, ad-free, privacy-respecting metasearch engine
Farama-Foundation/Gymnasium
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
PWhiddy/PokemonRedExperiments
Playing Pokemon Red with Reinforcement Learning
opendilab/DI-engine
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
zhoushengisnoob/DeepClustering
Methods and Implements of Deep Clustering
rmcrackan/Libation
Libation: Liberate your Library
lucidrains/vector-quantize-pytorch
Vector (and Scalar) Quantization, in Pytorch
annoviko/pyclustering
pyclustering is a Python, C++ data mining library.
ntasfi/PyGame-Learning-Environment
PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.
nnaisense/evotorch
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
MishaLaskin/vqvae
A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)
brentyi/tyro
CLI interfaces & config objects, from types
f-dangel/cockpit
Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
uclanlp/awesome-fairness-papers
Papers on fairness in NLP
cerlymarco/linear-tree
A python library to build Model Trees with Linear Models at the leaves.
kenjyoung/MinAtar
Robofied/Awesome-NLP-Resources
This repository contains landmark research papers in Natural Language Processing that came out in this century.
Plankson/awesome-explainable-reinforcement-learning
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges
automl/CARL
Benchmarking RL generalization in an interpretable way.
dcai-course/dcai-course
Introduction to Data-Centric AI, MIT IAP 2023 🤖
floringogianu/atari-agents
Code and links for over 25,000 trained Atari agents
neurodata/scikit-tree
Scikit-learn compatible decision trees beyond those offered in scikit-learn
metadriverse/policydissect
[NeurIPS 2022] Official implementation of the paper: "Human-AI Shared Control via Policy Dissection"
k4ntz/OC_Atari
Object Centric Atari games
markub3327/flappy-bird-gymnasium
An OpenAI Gym environment for the Flappy Bird game
xmq1221/awesome-prototype-based-papers
This is a list of awesome prototype-based papers for explainable artificial intelligence.
yoonsanghyu/AAE-PyTorch
Adversarial autoencoder (basic/semi-supervised/supervised)
Safe-RL-Team/viper-verifiable-rl-impl
Implementation of the VIPER algorithm introduced in "Verifiable Reinforcement Learning via Policy Extraction" by Bastani et al.