AI agents running research on single-GPU nanochat training automatically

Probabilistic forecasting of renewable energy and electricity demand using Graph-based Denoising Diffusion Probabilistic Model

Graph-based weather forecasting models. Originally, PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)

Generic and simple controls framework for ROS 2

Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch

High performance self-hosted photo and video management solution.

FPGA implementation of the hector_slam algorithm using only lidar data

Controlling diverse robots by inferring jacobian fields with deep networks! Let's make robots understand their bodies!

[ICCV 2023] Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior

NASA Astrobee Robot Software

🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

Implementations of common F1Tenth autonomous racing algorithms with benchmark results.

A Euclidean diffusion model for structure-based drug design.

pyrelational is a python active learning library for rapidly implementing active learning pipelines from data management, model development (and Bayesian approximation), to creating novel active le…

Benchmarks for generative chemistry

Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space.

Implementation of Motion Planning Diffusion

Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).

Implementation of Graph Convolutional Networks in TensorFlow

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models

A community-maintained Python framework for creating mathematical animations.

Code to reproduce the results of the paper Graph Neural Networks for Relational Inductive Bias in Vision-based Deep Reinforcement Learning of Robot Control.

ROS-LLM is a framework designed for embodied intelligence applications in ROS. It allows natural language interactions and leverages Large Language Models (LLMs) for decision-making and robot contr…

This repository contains PyTorch implementation of the following paper: "Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation"

Structured Denoising Diffusion Models in Discrete State-Spaces

A game theoretic approach to explain the output of any machine learning model.

Implementation of Stochastic Gaussian Process Motion Planning algorithm, IROS 2022.