Qingsong Wang's repositories
DS-MVR-Algorithm
Demo for ``Accelerated Doubly Stochastic Gradient Descent for Tensor CP Decomposition''
BPSGE-Algorithm
demo for " A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems“
NiPALM-Algorithm
Demo for ``A Generalized Inertial Proximal Alternating Linearized Minimization Method for Nonconvex Nonsmooth Problems''
Bregman-Matrix-Tensor
Matrix/Tensor factorization with Bregman proximal (stochastic) gradient
Awesome-3D-AnomalyDetection
Awesome papers on 3D anomaly detection.
awesome-anomaly-detection
A curated list of awesome anomaly detection resources
book
Code for the book "Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory"
BPSG-algorithm
demo for "A Bregman stochastic method for nonconvex nonsmooth problem beyond global Lipschitz gradient continuity"
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。
machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
decisionmaking-code-py
Python versions of all typeset code blocks from the book, Algorithms for Decision Making.
fedstellar
Fedstellar: A Platform for Decentralized Federated Learning
HFL_Survey
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
HySUPP
An Open-Source Hyperspectral Unmixing Python Package
manopt
Manopt, a Matlab toolbox for optimization on manifolds
mars
Сode for our paper MARS: Masked Automatic Ranks Selection in Tensor Decompositions
NMD-AB
Alternating Bregman Algorithms for ReLU-based Regularized Matrix Factorization
NMD-TM
demo for "A Momentum Accelerated Algorithm for ReLU-based Nonlinear Matrix Decomposition"
ONMF_ONTF_NDL
Online Matrix/Tensor Factorization and applications to Network Dictionary Learning and images
pymanopt
Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation
pytorch_optimizer
Bunch of optimizer implementations in PyTorch
Reproducible-Bayesian-Tensor-Matrix-Machine-Learning-SOTA
Reproducible-Bayesian-Tensor-Machine-Learning-SOTA
snspp
Stochastic Proximal Point algorithm for regularized statistical learning
tednet
TedNet: A Pytorch Toolkit for Tensor Decomposition Networks
thqml-1.0
Thinking-Quantum-Machine-Learning code repository
ttrecipes
Metamodeling, sensitivity analysis and visualization using the tensor train format