Compositional Differentiable Programming Library

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

Causal Discovery in Python. It also includes (conditional) independence tests and score functions.

Video as Conditional Graph Hierarchy for Multi-Granular Question Answering (AAAI'22, Oral)

Pytorch code for Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners

PHYRE is a benchmark for physical reasoning.

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Graph Neural Network Library for PyTorch

An explainable inference software supporting annotated, real valued, graph based and temporal logic

Ultralytics YOLO11 🚀

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

Multi-Joint dynamics with Contact. A general purpose physics simulator.

Network Analysis in Python

Topic Modelling for Humans

Universal markup converter

A machine learning software for extracting information from scholarly documents

[ICCV2023 Best Paper Finalist] PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)

Main repository of SageMath

A comprehensive open source computer algebra system for computations in algebra, geometry, and number theory.

Sharing Updatable Models (SUM) on Blockchain

Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.

CUDA on non-NVIDIA GPUs