Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (ICML'22 Long Presentation)

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

PyCIL: A Python Toolbox for Class-Incremental Learning

Anti-Backdoor learning (NeurIPS 2021)

Official Implementation of ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

An implementation of the Joint Representation Learning Model (JRL) for product recommendation based on heterogeneous information sources

End-to-End Object Detection with Transformers

An implementation of a deep learning recommendation model (DLRM)

Official Pytorch implementation of CutMix regularizer

DeepLab v3+ model in PyTorch. Support different backbones.

Image-to-Image Translation in PyTorch

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Learning to Learn in TensorFlow

Code for paper: Joint Representation Learning for Top-N Recommendation with Heterogenous Information Sources

This package is a complete tool for creating a large dataset of images (specially designed -but not only- for machine learning enthusiasts). It can crawl the web, download images, rename / resize /…