Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Open source tools for computational pathology - Nature BME

Attention mechanism for processing sequential data that considers the context for each timestamp.

A collection of ZSH frameworks, plugins, themes and tutorials.

PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and features" (NeurIPS 2020)

High-quality implementations of standard and SOTA methods on a variety of tasks.

Code-repository for the ICML 2020 paper Fairwashing explanations with off-manifold detergent

The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)

CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)

Multivariate Anomaly Detection with Interpretability (MADI) published in ICML 2020

Prior Generating Networks for Anomaly Detection

starter from "How to Train a GAN?" at NIPS2016

Repository for the Explainable Deep One-Class Classification paper

A modern LaTeX Beamer theme

Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.

Repository for the Medical Out-of-Distribution Analysis Challenge.

An End-to-end Outlier Detection System

Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

EigenPro Iteration in PyTorch

Self-Supervised Learning for OOD Detection (NeurIPS 2019)

The Combined Anomalous Object Segmentation (CAOS) Benchmark

gnn explainer

The most cited deep learning papers

A curated list of awesome self-supervised methods