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(ECCV 2020) Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation
A library for efficient similarity search and clustering of dense vectors.
Source code of TSP paper "Fast Graph Sampling Set Selection Using Gershgorin Disc Alignment".
Official code repository of the paper Linear Transformers Are Secretly Fast Weight Memory Systems
This repo provides :zap: fast:zap: semantic segmentation models on CityScapes/Camvid DataSet by Pytorch
The fast.ai deep learning library, lessons, and tutorials
A fast texture compressor for various formats
A state-of-the-art Video Frame Interpolation Method using feature flows blending. (CVPR 2020)
Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).
这是我博客文章的markdown格式文章,开放出来,便于备份。欢迎转载。(有些文章并没有发到博客里)
New generation entropy codecs : Finite State Entropy and Huff0
Deep learning with dynamic computation graphs in TensorFlow
Biological Image Segmentation from edge probability map using Graph-Cut and Watershed algorithm
This repository contains NIPS2019 workshop about graph neural network. You can check from the website: https://grlearning.github.io/papers/
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator
Source code and models GALD net (BMVC-2019)and Dual-Seg Net (BMVC-2019)
Deep Graph-Convolutional Image Denoising
Implementation of Graph Convolutional Networks in TensorFlow
TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression
PyTorch implementation of "Image-Conditioned Graph Generation for Road Network Extraction"
Geom-GCN: Geometric Graph Convolutional Networks
Computations and statistics on manifolds with geometric structures.
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Official implementation of GMOEA.
Must-read papers on graph neural networks (GNN)
Google Research
Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019
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.