skandermoalla's Stars
ohmyzsh/ohmyzsh
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool that makes it easy to keep up with the latest updates from the community.
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
numpy/numpy
The fundamental package for scientific computing with Python.
MonitorControl/MonitorControl
🖥 Control your display's brightness & volume on your Mac as if it was a native Apple Display. Use Apple Keyboard keys or custom shortcuts. Shows the native macOS OSDs.
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
sindresorhus/pure
Pretty, minimal and fast ZSH prompt
stas00/ml-engineering
Machine Learning Engineering Open Book
karpathy/micrograd
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
facebookresearch/hydra
Hydra is a framework for elegantly configuring complex applications
mamba-org/mamba
The Fast Cross-Platform Package Manager
Authenticator-Extension/Authenticator
Authenticator generates 2-Step Verification codes in your browser.
NVIDIA/nvidia-container-toolkit
Build and run containers leveraging NVIDIA GPUs
Farama-Foundation/Arcade-Learning-Environment
The Arcade Learning Environment (ALE) -- a platform for AI research.
LyWangPX/Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions
Solutions of Reinforcement Learning, An Introduction
pytorch/tensordict
TensorDict is a pytorch dedicated tensor container.
google-research/rliable
[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.
epfml/landmark-attention
Landmark Attention: Random-Access Infinite Context Length for Transformers
facebookresearch/BenchMARL
A collection of MARL benchmarks based on TorchRL
openrlbenchmark/openrlbenchmark
pytorch/torchsnapshot
A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind.
eth-cscs/sarus
OCI-compatible engine to deploy Linux containers on HPC environments.
ebezzam/python-dev-tips
Minimal package to demonstrate good Python development habits
CLAIRE-Labo/python-ml-research-template
A template for starting reproducible Python machine-learning projects with hardware acceleration. Find an example at https://github.com/CLAIRE-Labo/no-representation-no-trust
tml-epfl/why-weight-decay
Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]
tml-epfl/sam-low-rank-features
Sharpness-Aware Minimization Leads to Low-Rank Features [NeurIPS 2023]
CLAIRE-Labo/no-representation-no-trust
Codebase to fully reproduce the results of "No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO" (Moalla et al. 2024). Uses TorchRL and provides extensive tools for studying representation dynamics in policy optimization.
EPIC-guide/epic-guide.github.io
Guidebook for IC PhD life at EPFL
CorentinDumery/potato-generator
skandermoalla/bet-reproduction
Reproducibility study of the paper Behavior Transformers: Cloning k modes with one stone.
dogatekin/ml-cheatsheet
Summary and cheatsheet for the "Machine Learning" class of EPFL's Computer Science Masters