PyTorch implementation of "Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning" with DDP and Apex AMP

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

CVPR 2020 论文开源项目合集

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

SimCLR - A Simple Framework for Contrastive Learning of Visual Representations

SSL-FEW-SHOT

This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.

A curated list of neural network pruning resources.

11 neural architecture search (NAS) algorithms implemented in PyTorch.

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

Sandbox for training convolutional networks for computer vision

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more

This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423

a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with improved performance.

👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Debugging, monitoring and visualization for Python Machine Learning and Data Science

ImageNet classifier with state-of-the-art adversarial robustness

A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications

A curated list of applied machine learning and data science notebooks and libraries across different industries.

Scaling and Benchmarking Self-Supervised Visual Representation Learning

PyTorch and Keras model training and layer saturation monitor

Public repo for Augmented Multiscale Deep InfoMax representation learning

torchbearer: A model fitting library for PyTorch

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

Weakly Supervised Learning On Images

E-LPIPS: Robust Perceptual Image Similarity via Random Transformation Ensembles

Contrastive Multiview Coding (self-supervised learning from multiple sensors/views/modalities)

Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:

Comparison of famous convolutional neural network models