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Name: 豆芽菜
Type: User
Name: 豆芽菜
Type: User
Official PyTorch Implementation of aLRP Loss [NeurIPS2020]
🚀🚀🚀A collection of some awesome public projects about Large Language Model, Vision Foundation Model and AI Generated Content.
🔥🔥🔥 A collection of some awesome YOLO object detection series projects.
⚡️ 一款图形界面的百度网盘不限速下载器,支持 Windows、Linux 和 Mac。
This a mirror of the official Bitcoin-ABC repository. Please see README.md
Originally cloned from puzzledqs's mpi-parallel version. This version uses MPI to enable multi-GPU processing. Also includes some useful scripts for the paper "A Large-Scale Car Dataset for Fine-Grained Categorization and Verification", CVPR 2015. Check "models/finetune_web_car" for details.
D2Det: Towards High Quality Object Detection and Instance Segmentation (CVPR2020)
Yolo v4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow
A PyTorch implementation of EfficientNet
FaceXlib aims at providing ready-to-use face-related functions based on current STOA open-source methods.
Fruits-360: A dataset of images containing fruits and vegetables
Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection
PyTorch implementation for Head2Head and Head2Head++. It can be used to fully transfer the head pose, facial expression and eye movements from a source video to a target identity.
Header-only C++/python library for fast approximate nearest neighbors
健康学习到150岁 - 人体系统调优不完全指南
The official PyTorch implementation of img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation
27 hand-annotated attributes of Market-1501
Code for Multiple Instance Active Learning for Object Detection, CVPR 2021
OpenMMLab Detection Toolbox and Benchmark
Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.
[ECCV 2020] Actions as Moving Points
Models and examples built with TensorFlow
⚡Super fast and lightweight anchor-free object detection model. 🔥Only 1.8MB and run 97FPS on cellphone🔥
ncnn is a high-performance neural network inference framework optimized for the mobile platform
backups of okex doc, diff between commits
This is the third party implementation of the paper Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.