yfletberliac's Stars
ray-project/ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
kmario23/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
OpenMined/PySyft
Perform data science on data that remains in someone else's server
hill-a/stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
rll/rllab
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
yuchenlin/rebiber
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).
awesome-mlss/awesome-mlss
🤖 Machine Learning Summer School deadlines
Farama-Foundation/Minigrid
Simple and easily configurable grid world environments for reinforcement learning
rlworkgroup/garage
A toolkit for reproducible reinforcement learning research.
epfml/ML_course
EPFL Machine Learning Course, Fall 2024
instadeepai/Mava
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
hardmaru/slimevolleygym
A simple OpenAI Gym environment for single and multi-agent reinforcement learning
cpnota/autonomous-learning-library
A PyTorch library for building deep reinforcement learning agents.
qgallouedec/panda-gym
Set of robotic environments based on PyBullet physics engine and gymnasium.
jilljenn/tryalgo
Algorithms and data structures for preparing programming competitions: basic and advanced
NVlabs/cule
CuLE: A CUDA port of the Atari Learning Environment (ALE)
guilgautier/DPPy
Python toolbox for sampling Determinantal Point Processes
rlberry-py/rlberry
An easy-to-use reinforcement learning library for research and education.
SvenGronauer/Bullet-Safety-Gym
An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.
yfletberliac/adversarially-guided-actor-critic
AGAC: Adversarially Guided Actor-Critic
nathangrinsztajn/Box-World
Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"
SuReLI/dyna-gym
This is a pip package implementing Reinforcement Learning algorithms in non-stationary environments supported by the OpenAI Gym toolkit.
Egiob/cfrx
cfrx is a collection of algorithms and tools for hardware-accelerated Counterfactual Regret Minimization (CFR) algorithms in Jax.
xuedong/machine-learning-summer-schools
Curated materials for different machine learning related summer schools
eleurent/python-good-practices
Useful tools and practices for Python development
rlberry-py/tutorials
Reinforcement learning tutorials using the rlberry library.
hyperplan-io/server
The interface between data scientists and developers.
omardrwch/rlcpp
Reinforcement Learning in C++
mathieuorhan/graph-sokoban
MVA Graph for ML projet
omardrwch/advantage-weighted-regression
Implementation of AWR (https://arxiv.org/abs/1910.00177)