-
University of Cambridge
Stars
A library for efficient similarity search and clustering of dense vectors.
Visualizer for neural network, deep learning and machine learning models
Python scripting for Godot. This GDExtension plugin allows you to use Python like GDScript, accessing the Godot engine's features and benefiting from Python's vast ecosystem.
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
🐍 The official Python client library for Google's discovery based APIs.
🏝️ OASIS: Open Agent Social Interaction Simulations with One Million Agents.
Technical Analysis Library using Pandas and Numpy
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
OpenClaw Mission Control Dashboard
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
(Crafter + NetHack) in JAX. ICML 2024 Spotlight.
VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set …
Convert Machine Learning Code Between Frameworks
BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL algorithms, tasks, and models while being systematically ground…
Jupyter metapackage for installation and documentation
smorad / Stoix
Forked from EdanToledo/Stoix🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
Unreal Engine Plugin for Lua APIs implementation
A small package to create visualizations of PyTorch execution graphs
Official code for Goldfish model for long video understanding and MiniGPT4-video for short video understanding
Alpaca Trading API integrated with backtrader
Python client for Alpaca's trade API
A Python + iCloud wrapper to access iPhone and Calendar data.
Large World Model -- Modeling Text and Video with Millions Context
PyTorch implementation of normalizing flow models
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"