star0071 Goto Github PK
Type: User
Type: User
Multi-label Image Recognition by Recurrently Discovering Attentional Regions (Pytorch implementation)
Repository for "Deformable 3D Convolution for Video Super-Resolution", arXiv, 2020
Differentiable architecture search for convolutional and recurrent networks
Deep learning toolbox based on PyTorch for hyperspectral data classification.
DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images (ESA PROBA-V challenge)
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks
Code for the paper "Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization", ICCV 2019, http://arxiv.org/abs/1910.04562.
A repo for me to learn Git with
OpenMMLab Detection Toolbox and Benchmark
OpenMMLab Image and Video Editing Toolbox
Omniglot data set for one-shot learning
Open3D: A Modern Library for 3D Data Processing
Open Source Computer Vision Library
PC-DARTS:Partial Channel Connections for Memory-Efficient Differentiable Architecture Search
The paper list of person attribute recognition
A simple baseline for pedestrian attribute recognition in surveillance scenarios
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
PyTorch implementation of Pointnet2/Pointnet++
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Repository containing an independent implementation of the paper: "A Fully Progressive Approach to Single-Image Super-Resolution"
PyTorch implementation of Contrastive Learning methods; List of awesome-contrastive-learning papers
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
Build your neural network easy and fast
PyTorch implementation of the R2Plus1D convolution based ResNet architecture described in the paper "A Closer Look at Spatiotemporal Convolutions for Action Recognition"
RandLA-Net in Tensorflow (CVPR 2020, Oral)
Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)
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.