Stars
RIS-Codes-Collection: A Complete Collection contains the Codes for RIS(IRS) Researches.
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
Anomaly detection related books, papers, videos, and toolboxes
A collection of important graph embedding, classification and representation learning papers with implementations.
Paper Lists for Graph Neural Networks
Must-read papers on graph neural networks (GNN)
A Course on Mathematical Theories of Deep Learning
Riemannian stochastic optimization algorithms: Version 1.0.3
Compressed sensing with deep image prior algorithm
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
Code for the paper "Phase Retrieval Under a Generative Prior"
Paper implemention of paper "Blind Image Deconvolution using Deep Generative Priors"
Manopt, a Matlab toolbox for optimization on manifolds
FastAST - A fast primal-dual interior point method for line spectral estimation via atomic norm soft thresholding.
3.8% and 18.3% on CIFAR-10 and CIFAR-100
[NeurIPS'18, Spotlight oral] "Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds", by Xiaohan Chen*, Jialin Liu*, Zhangyang Wang and Wotao Yin.
KaihuiLau / sparse_gen
Forked from ermongroup/sparse_genCode for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018
Privacy-preserving generative deep neural networks support clinical data sharing