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Models and examples built with TensorFlow
A tool for exploring each layer in a docker image
OpenMMLab Detection Toolbox and Benchmark
Visualizer for neural network, deep learning and machine learning models
A simple screen parsing tool towards pure vision based GUI agent
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
📦🚀 Fully automated version management and package publishing
Slim(toolkit): Don't change anything in your container image and minify it by up to 30x (and for compiled languages even more) making it secure too! (free and open source)
Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS
📓 Lint commit messages
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
Open deep learning compiler stack for cpu, gpu and specialized accelerators
An idiomatic, lean, fast & safe pure Rust implementation of Git
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
A supercharged Git/GitHub command line interface (CLI). An official integration for GitHub and GitHub Enterprise: https://github.com/works-with/category/desktop-tools
Object detection, 3D detection, and pose estimation using center point detection:
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
Simple Online Realtime Tracking with a Deep Association Metric
📦 GitHub Action for creating GitHub Releases
A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
[CVPR19/TPAMI23] SiamMask: A Framework for Fast Online Object Tracking and Segmentation
Python library for loading and using triangular meshes.