Stars
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
Repository for the Explainable Deep One-Class Classification paper
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.
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.
Self-Supervised Learning for OOD Detection (NeurIPS 2019)
The Combined Anomalous Object Segmentation (CAOS) Benchmark
The most cited deep learning papers
A curated list of awesome self-supervised methods