Stars
A standalone version of the readability lib
Display system informations in gnome shell status bar, such as memory usage, cpu usage, network rates…
The lazier way to manage everything docker
Automatic neural network visualizations generated in your browser!
Build complex rules, serialize them as JSON, and execute them in Python
User-friendly query builder for React
Real-time microphone noise suppression on Linux.
An implementation of the Debug Adapter Protocol for Python
Search UI for Elasticsearch & Opensearch. Compatible with Algolia's Instantsearch and Autocomplete components. React & Vue support
WIT (Wikipedia-based Image Text) Dataset is a large multimodal multilingual dataset comprising 37M+ image-text sets with 11M+ unique images across 100+ languages.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement …
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
Central repository for tools, tutorials, resources, and documentation for robotics simulation in Unity.
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
A simple OpenAI Gym environment for single and multi-agent reinforcement learning
A Simulation Environment to train Robots in Large Realistic Interactive Scenes
Jiminy: a fast and portable Python/C++ simulator of poly-articulated robots with OpenAI Gym interface for reinforcement learning
A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
erlerobot / gym-gazebo
Forked from openai/gymRefer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.