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Multi-platform high-performance compute language extension for Rust.
Rust bindings for the C++ api of PyTorch.
A Shared Architecture for Simultaneous Depth Estimation and Semantic Segmentation from Monocular Camera Images
This is the official repository for our recent work: PIDNet
"Learning Delicate Local Representations for Multi-Person Pose Estimation" (ECCV 2020 Spotlight) & (COCO 2019 Human Keypoint Detection Challenge Winner) & (COCO 2019 Best Paper Award)
A simple zero-config tool to make locally trusted development certificates with any names you'd like.
RoboBEV: Towards Robust Bird's Eye View Perception under Common Corruption and Domain Shift
Code for Paper, MUTR3D: A Multi-camera Tracking Framework via 3D-to-2D Queries. https://tsinghua-mars-lab.github.io/mutr3d/
Warp is a modern, Rust-based terminal with AI built in so you and your team can build great software, faster.
A massively parallel, high-level programming language
An extremely fast Python package and project manager, written in Rust.
DCNv2 supports decent pytorch such as torch 1.5+ (now 1.8+)
Add bisenetv2. My implementation of BiSeNet
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Code at the speed of thought – Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.
[AAAI2024] Far3D: Expanding the Horizon for Surround-view 3D Object Detection
A structured log handler for Go, with a human-readable output format designed for development builds.
Python bindings for FFmpeg - with complex filtering support
Ready-to-use SRT / WebRTC / RTSP / RTMP / LL-HLS media server and media proxy that allows to read, publish, proxy, record and playback video and audio streams.
An opinionated toast component for React.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
Object detection, 3D detection, and pose estimation using center point detection:
An easy to understand and better performance version of CenterNet