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A tutorial and a set of tools to compute depth-from-stereo with Project Aria Gen2 devices. This includes stereo image rectification as well as disparity estimation

Jupyter Notebook 96 14 Updated May 26, 2026

EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video

Python 295 9 Updated Aug 20, 2025

RynnVLA-002: A Unified Vision-Language-Action and World Model

Python 1,073 63 Updated Dec 2, 2025
Python 42 2 Updated Mar 18, 2026

Official PyTorch implementation of "DC-MPC: Discrete Codebook Model Predictive Control"

Jupyter Notebook 32 1 Updated Mar 15, 2025

SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]

Python 19,538 2,135 Updated Jun 17, 2026

The easiest way to do motion tracking!

Swift 396 30 Updated May 13, 2025

PyTorch implementation of differentiable Sphere Tracing / Ray Marching with SDFs (Signed Distance Function) and CSG (Constructive Solid Geometry).

Python 51 3 Updated Feb 6, 2023

Training a SpaceX-style rocket to land autonomously using reinforcement learning. Powered by Unity MLAgents.

C# 42 3 Updated Sep 30, 2020

Learning Continuous Signed Distance Functions for Shape Representation

Python 1,561 281 Updated Jun 20, 2022

Open3D: A Modern Library for 3D Data Processing

C++ 13,695 2,579 Updated Jun 16, 2026

[CVPR 2022] POCO: Point Convolution for Surface Reconstruction

Python 227 23 Updated Jun 15, 2023

Machine learning framework for predicting the responses of drug combinations in pre-clinical studies, such as those based on cell lines or patient-derived cells.

Python 26 14 Updated Oct 25, 2020

TensorFlow implementation of an arbitrary order Factorization Machine

Jupyter Notebook 778 173 Updated Jan 17, 2022

PyTorch implementation of the Covariate-GPLVM

Python 26 5 Updated Mar 1, 2020

A highly efficient implementation of Gaussian Processes in PyTorch

Python 3,893 594 Updated Jun 8, 2026

Gaussian Process Prior Variational Autoencoder

Python 86 11 Updated Nov 28, 2018

TCRGP, a novel Gaussian process method that can predict if TCRs recognize certain epitopes. This method can utilize different CDR sequences from both TCRα and TCRβ chains from single-cell data and …

Jupyter Notebook 30 5 Updated Jan 31, 2023

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

Python 1,571 333 Updated Apr 19, 2024