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active-learning

ad_examples

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

apprecommender

A recommender system for GNU/Linux applications

awesome-adversarial-machine-learning

A curated list of awesome adversarial machine learning resources

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

awesome-imbalanced-learning

A curated list of awesome imbalanced learning papers, codes, frameworks, and libraries. | 类别不平衡学习：论文、代码、框架与库

awesome-matlab-robotics

This is a list of awesome demos, tutorials, utilities and overall resources for the robotics community that use MATLAB and Simulink.

awesome-of-time-series-augmentation

A curated list of time series augmentation resources.

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

awesome-transfer-learning

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

awesome_pinn

bnn-dgn-agi

Bayesian Neural Networks, Deep generative networks, Artificial general intelligence

bovy_mcmc

MCMC routines

buaathesis

北航毕设论文LaTeX模板

cevae

Causal Effect Inference with Deep Latent-Variable Models

data-augmentation-review

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

deep-active-learning

Deep Active Learning

deep-learning-experiments

Notes and experiments to understand deep learning concepts

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

distribution-is-all-you-need

The basic distribution probability Tutorial for Deep Learning Researchers

dl-based-intelligent-diagnosis-benchmark

Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"

dvbpr

Personalized Fashion Recommendation and Generation

emoc

Cloned from http://triton.inf-cv.uni-jena.de/LifelongLearning/gpEMOC

flink-ai-extended

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gess

An MCMC algorithm for sampling continuous probability distributions in parallel

gnnpapers

Must-read papers on graph neural networks (GNN)

graphlab

A framework for large-scale machine learning and graph computation.

imgaug

Image augmentation for machine learning experiments.