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Name: SpringLiu
Type: User
Name: SpringLiu
Type: User
Methods from the paper "AdaOja: Adaptive Learning Rates for Streaming PCA."
Codes for AIR-Net: Adaptive and implicit regularization neural network for matrix completion
Auxiliary Information Regularized CANDECOMP/PARAFAC Tensor Completion
NeurIPS2022: Code for ATD, Sleep-EDF, HAR,PTB-XL, MGH data processing
Tensor factorization algorithm for binary and count data
Broad learning systems demo code
Methods for binary matrix completion
BroadCF (Broad Collaborative Filtering) is one of the BroadRS algorithms, a series of recommendation algorithms based on broad learning system (BLS). It is developed by BroadRS Research Team formed by SCAU, SYSU and SCUT.
Source code for the 2021 ICASSP paper "Acute Lymphoblastic Leukemia detection based on adaptive unsharpening and Deep Learning"
Source code for experiments in the papers "Complex Embeddings for Simple Link Prediction" (ICML 2016) and "Knowledge Graph Completion via Complex Tensor Factorization" (JMLR 2017).
CTD: Fast, accurate, and interpretable method for static and dynamic tensor decomposition
This is a demo for the Online Thinning algorithm
Fast and Scalable Method for Distributed Boolean Tensor Factorization (ICDE'17 & VLDBJ'19)
A MATLAB toolbox for exporting publication quality figures
Background Subtraction via Fast Robust Matrix Completion (ICCV2017)
Fast Tucker Factorization for Large-Scale Tensor Completion
Globally and Locally Consistent Image Completion
IJCAI2022: This package provides a generalized online tensor learning tool, which maintains a low-rank CP approximation during the evolution of tensor in different ways.
GRASTA ( Grassmannian Robust Adaptive Subspace Tracking Algorithm ) for low rank subspace tracking
Source code of "A Single Model CNN for Hyperspectral Image Denoising"
Implementation of methods for inductive matrix completion: GNIMC, AltMin and (regularized) GD
IMTSL - Incremental and Multi-feature Tensor Subspace Learning
The code of paper Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion. Zhanqiu Zhang, Jianyu Cai, Jie Wang. NeurIPS 2020.
MATLAB code for NIPS 2016 paper "Noise-Tolerant Life-Long Matrix Completion via Adaptive Sampling"
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.