Tensors and Dynamic neural networks in Python with strong GPU acceleration

The user-friendly command line shell.

Graph Neural Network Library for PyTorch

Deep Learning for humans

JAX-based neural network library

A visualization grammar.

Bayesian optimization in PyTorch

A highly efficient implementation of Gaussian Processes in PyTorch

High-quality implementations of standard and SOTA methods on a variety of tasks.

Prototyping robots for PyBullet (F1/10 MIT Racecar, Sawyer, Baxter and Dobot arm, Boston Dynamics Atlas and Botlab environment)

Optimizers for machine learning

Pre-trained Gaussian processes for Bayesian optimization

A working draft of a free undergraduate robotics textbook, collected from lecture notes

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

Virtual Seminar Series on Bayesian Decision-making and Uncertainty

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

Code release for the paper, "Proactive Agents for Text-to-Image Generation under Uncertainty"

Gaussian processes in TensorFlow

2D Game Physics for Python

PyBullet Planning

Github repo for REDUCR: Robust Data Downsampling using Class Priority Reweighting

Python implementations of several robotic motion planners

Fast and Easy Infinite Neural Networks in Python

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

Library for computing with multidimensional functions

Grammar Prompting for Domain-Specific Language Generation with Large Language Models