Stars
Distributed, offline-first bug tracker embedded in git
Burn is a next generation Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
[CVPR 2025] Video Depth without Video Models
[ICRA 2025] 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!
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
Efficient vision foundation models for high-resolution generation and perception.
RepViT: Revisiting Mobile CNN From ViT Perspective [CVPR 2024] and RepViT-SAM: Towards Real-Time Segmenting Anything
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."
A Multi State Constraint Equivariant Filter for Vision-aided Inertial Navigation
We write your reusable computer vision tools. 💜
💥 Blazing fast terminal file manager written in Rust, based on async I/O.
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Use any linux distribution inside your terminal. Enable both backward and forward compatibility with software and freedom to use whatever distribution you’re more comfortable with. Mirror available…