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adabound

An optimizer that trains as fast as Adam and as good as SGD.

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

awesome-autodl

A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

awesome-community-detection

A curated list of community detection research papers with implementations.

awesome-deep-community-detection

Deep Learning for Community Detection: Progress, Challenges and Opportunities (IJCAI-2020)

awesome-diffusion-models

A collection of resources and papers on Diffusion Models

awesome-equivariant-network

Paper list for equivariant neural network

awesome-evolutionary-reinforcement-learning

Research Papers and Code Repository on the Integration of Evolutionary Algorithms and Reinforcement Learning

awesome-gcn

resources for graph convolutional networks （图卷积神经网络相关资源）

awesome-gflownets

A curated list of resources about generative flow networks (GFlowNets).

awesome-incremental-learning

Awesome Incremental Learning

awesome-influence-maximization-papers

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-masked-autoencoders

A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).

awesome-meta-learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

awesome-ml4co

Awesome machine learning for combinatorial optimization papers.

awesome-monte-carlo-tree-search-papers

A curated list of Monte Carlo tree search papers with implementations.

awesome-nas

awesome-nas-papers

Awesome Neural Architecture Search Papers

awesome-neural-ode

A collection of resources regarding the interplay between differential equations, dynamical systems, deep learning, control and optimization.

awesome-papers-fewshot

Collection for Few-shot Learning

awesome-self-supervised-gnn

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

bayesiandeeplearning-survey

Bayesian Deep Learning: A Survey

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bcs

Bayesian Compressive Sensing and Multi-task Compressive Sensing

bigclam

Implements the bigCLAM algorithm

botorch

Bayesian optimization in PyTorch

calsapso

Committee-Based Active Learning for Surrogate-Assisted Particle Swarm Optimization of Expensive Problems

causalml

Uplift modeling and causal inference with machine learning algorithms