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A resource repository for 3D machine learning
A list of papers and datasets about point cloud analysis (processing)
A collection of AWESOME things about domian adaptation
Pytorch implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)
Cross Domain Structure Preserving Projection for Heterogeneous Domain Adaptation
A list of papers and datasets on X-ray or CT image based Covid-19 screening
This project is an implementation of the crowd counting model proposed in our CVPR 2017 paper - Switching Convolutional Neural Network(SCNN) for Crowd Counting. SCNN is an adaptation of the fully-convolutional neural network and uses an expert CNN that chooses the best crowd density CNN regressor for parts of the scene from a bag of regressors. This helps it tackle intra-scene crowd density variation and obtain SOTA results
Single Image Crowd Counting via MCNN (Unofficial Implementation)
Keras code and weights files for popular deep learning models.
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
engine-cuda is a CUDA/OpenCL engine for the popular OpenSSL cryptography framework.
An efficient basecaller for Illumina sequencers with calibrated quality scores
Pytorch implementation for the paper Generalized Zero-Shot Domain Adaptation via Coupled Conditional Variational Autoencoders
Qian Wang's Homepage
shell scripts to install different version of OpenCV in different distributions of Linux
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
A Baseline for Multi-Label Image Classification Using Ensemble Deep CNN
open-set domain adaptation with oslpp
code for Zagidullin et al 2021 "Comparative analysis of molecular fingerprints in prediction of drug combination effects"
CUDA implementation of NMS for PyTorch
Source Class Selection with Label Propagation for Partial Domain Adaptation
Pytorch implementation of SGANet for crowd counting
JavaScript 3D Library.
Pytorch implementation for the paper: Data augmentation with norm-AE and selective pseudo-labelling for unsupervised domain adaptation
Video Classification using 2 stream CNN
最强微博爬虫,用户、话题、评论一网打尽。
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.