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a-_guide_-to_data_sciecne_from_mathematics

It is a blueprint to data science from the mathematics to algorithms. It is not completed.

adbench

Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

awesome-3d-anomalydetection

Awesome papers on 3D anomaly detection.

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

badam

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"

bpsge-algorithm

demo for " A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems“

bregman-matrix-tensor

Matrix/Tensor factorization with Bregman proximal (stochastic) gradient

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。

decisionmaking-code-py

Python versions of all typeset code blocks from the book, Algorithms for Decision Making.

denoising-comparison

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

ds-mvr-algorithm

Demo for ``Accelerated Doubly Stochastic Gradient Descent for Tensor CP Decomposition''

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

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

manopt

Manopt, a Matlab toolbox for optimization on manifolds

mars

Сode for our paper MARS: Masked Automatic Ranks Selection in Tensor Decompositions

nipalm-algorithm

Demo for ``A Generalized Inertial Proximal Alternating Linearized Minimization Method for Nonconvex Nonsmooth Problems''

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"

nothing2wang.github.io

https://nothing2wang.github.io

ntd-am

demo for ``ReLU-based Factorization for Sparse Nonnegative Tensors by Alternating Minimization''

onmf_ontf_ndl

Online Matrix/Tensor Factorization and applications to Network Dictionary Learning and images

optimaltransport.github.io

Web site of the Computational Optimal Transport book

optimizationbook

pml-book

"Probabilistic Machine Learning" - a book series by Kevin Murphy