Stars
[CVPR 2025] Official PyTorch implementation of "EdgeTAM: On-Device Track Anything Model"
Makepad is a creative software development platform for Rust that compiles to wasm/webGL, osx/metal, windows/dx11 linux/opengl
GLIM: versatile and extensible point cloud-based 3D localization and mapping framework
A highly robust and accurate LiDAR-inertial odometry package
[CVPR 2025 Highlight] Matrix3D: Large Photogrammetry Model All-in-One
MP-SfM: Monocular Surface Priors for Robust Structure-from-Motion (CVPR 2025)
[CVPR 2025 Best Paper Award] VGGT: Visual Geometry Grounded Transformer
Code for the project "MegaSaM: Accurate, Fast and Robust Structure and Motion from Casual Dynamic Videos"
Code repository for "DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers"
Distributed, offline-first bug tracker embedded in git
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
[CVPR 2025] RollingDepth: Video Depth without Video Models
[ICRA 2025 Best Paper] MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry
A minimal quadrotor autonomy framework in Rust (Mac, Linux, Windows)
A C++ framework for programming real-time applications
[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥
[ECCV 2024] Improving 2D Feature Representations by 3D-Aware Fine-Tuning
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
Official Implementation of CVPR24 highlight paper: Matching Anything by Segmenting Anything
Code for "TD-MPC2: Scalable, Robust World Models for Continuous Control"
Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!