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Deep Graph-Convolutional Image Denoising
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
Graph convolutional recurrent neural network
The source code for Gen-SToRM: https://arxiv.org/pdf/2102.00034.pdf
The released code of IRTNN algorithm, mainly proposed in the paper "Generalized Nonconvex Approach for Low-Tubal-Rank Tensor Recovery" pubiliahed in TNNLS 2022
Tutorial on GANs
Implementation of ECCV'18 paper - GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints
Computational biology and medical image processing scripts and programs
MATLAB implementation of the GIRAF algorithm for convolutional structured low-rank matrix recovery
gl-hosvd denoising algorithm
GNN方法和模型的Pytorch实现。Pytorch implementation of GNN.
Graph Neural Networks for Recommender Systems
Must-read papers on graph neural networks (GNN)
To predict google stock price by using recurring neual network algorithm in deep learning.
Learning Graph-Convolutional Representations for Point Cloud Denoising (ECCV 2020)
gpuNUFFT - An Open-Source GPU Library for 3D Gridding with Direct Matlab Interface
Matlab mex wrappers to cuSPARSE (NVIDIA)
Adaptive dictionary learning in sparse gradient domain for image recovery
Make huge neural nets fit in memory
links to conference publications in graph-based deep learning
Traffic Graph Convolutional Recurrent Neural Network
This is the code for the TGRS paper "Deep Spatial-Spectral Global Reasoning Network for Hyperspectral Image Denoising".
Probabilistic formulation of Group Sparse NMF, variational Bayesian learning.
Grouped Automatic Relevance Determination
Implementation of GroupCDL, CDLNet, and GDLNet image restoration neural networks in Julia.
This code solves multichannel sparse linear prediction using the Least Absolute Deviation (LAD) and Group LASSO (GL) algorithms with applications in dereverberation
Video classification using convGRU
Group Guided Sparse Group Lasso Multi-task Learning code. We refer to the paper for details about the model and the optimization algorithms: Xiaoli Liu, Peng Cao, Jinzhu Yang, Dazhe Zhao, Osmar Zaiane. Group Guided Sparse Group Lasso Multi-task Learning for Cognitive Performance Prediction of Alzheimer’s Disease[C]. International Conference on Brain Informatics. Springer, Cham, 2017: 202-212. DOI=https://doi.org/10.1007/978-3-319-70772-3_19
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.