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Several simple examples for popular neural network toolkits calling custom CUDA operators.
PyTorch Implementation of Noise2Noise (Lehtinen et al., 2018)
open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.
Official implementation of "PifPaf: Composite Fields for Human Pose Estimation" in PyTorch.
A repo of awesome papers about multi target multi camera tracking
Paper list on Pedestrian Attribute Recognition (PAR) and related tasks
[Pedestron] Pedestrian Detection: The Elephant In The Room. On ArXiv 2020
Implementation of PF-Track
Official Pytorch implementation of "Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose", ECCV 2020
A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
Image-to-Image Translation in PyTorch
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
label-smooth, amsoftmax, focal-loss, triplet-loss. Maybe useful
a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results
Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)
Corruption and Perturbation Robustness (ICLR 2019)
Code for Rotate-and-Render: Unsupervised Photorealistic Face Rotation from Single-View Images (CVPR 2020)
IJCAI2020 :city_sunrise: Unsupervised Scene Adaptation with Memory Regularization in vivo
(2020-2022)The PyTorch version of SiamFC,SiamRPN,DaSiamRPN, UpdateNet , SiamDW, SiamRPN++, SiamMask, SiamFC++, SiamCAR, SiamBAN, Ocean, LightTrack , TrTr, NanoTrack; Visual object tracking based on deep learning
Semantic Image Synthesis with SPADE
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)
Synchronized Batch Normalization implementation in PyTorch.
Code for our CVPR 2020 (ORAL) paper - TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style.
This is a PyTorch implementation of the paper "Three-branch and Mutil-scale learning for Fine-grained Image Recognition (TBMSL-Net)" (Fan Zhang, Guisheng Zhai, Meng Li, Yizhao Liu).
Stuff for educational purposes, mainly machine learning, Python and statistics
Summary of Transformer applications extended to computer vision task
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
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.