Stars
Update arXiv papers about Spiking Neural Networks daily.
Deep and online learning with spiking neural networks in Python
Flexible Python configuration system. The last one you will ever need.
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
An elegant PyTorch deep reinforcement learning library.
Repo centralising material for the ULiege course INFO9023 "Machine Learning Systems Design (MLOps)".
A new markup-based typesetting system that is powerful and easy to learn.
This is a Julia package implementing a robust neuromodulation controller for conductance based models.
A collection of robotics simulation environments for reinforcement learning
TensorDict is a pytorch dedicated tensor container.
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Challenging dexterous manipulation environments for RL that extend the hand manipulation environments introduced in OpenAI's Gym
A small package to create visualizations of PyTorch execution graphs
Baseline implementation of recurrent PPO using truncated BPTT
Simple easy to use module to get the intermediate values/activations from chosen Pytorch submodules. Supports submodule annidation and sequential modules.
Pytorch implementation of convolutional neural network visualization techniques
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Unified framework for robot learning built on NVIDIA Isaac Sim
Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Omniverse Isaac Gym and Isaac Lab
Reinforcement Learning Environments for Omniverse Isaac Gym
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.