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albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

alibi

Algorithms for explaining machine learning models

autoencoders

This will show how to make autoencoders using pytorch neural networks

awesome-alfred-workflows

A curated list of awesome alfred workflows

awesome-architecture-search

A curated list of awesome architecture search resources

awesome-bayes

List of resources for bayesian inference

awesome-conformal-prediction

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

awesome-diffusion-models

A collection of resources and papers on Diffusion Models and Score-based Models, a darkhorse in the field of Generative Models

awesome-explainable-graph-reasoning

A collection of research papers and software related to explainability in graph machine learning.

awesome-graph-explainability-papers

Papers about explainability of GNNs

awesome-graph-self-supervised-learning

Awesome Graph Self-Supervised Learning

awesome-incremental-learning

Awesome Incremental Learning

awesome-machine-learning

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

awesome-materials-informatics

Curated list of known efforts in materials informatics

awesome-molecular-generation

Awesome papers related to generative molecular modeling and design.

awesome-monte-carlo-tree-search-papers

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

awesome-normalizing-flows

A list of awesome resources on normalizing flows.

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-self-supervised-gnn

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

awesome-self-supervised-learning-for-graphs

A curated list for awesome self-supervised learning for graphs.

awesome-uncertainty-deeplearning

This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.

awesome-weak-supervision

A curated list of programmatic weak supervision papers and resources

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

bayesian-torch

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

bayesiandeeplearning

bayesianframework

A framework for Bayesian model selection (BMS) and Bayesian model Averaging (BMA).

bayesianml

Experiments in Bayesian Machine Learning

best_ai_papers_2021

A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.

blitz-bayesian-deep-learning

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

boruta_py

Python implementations of the Boruta all-relevant feature selection method.