google-research / big_transferLinks
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
☆1,526Updated 11 months ago
Alternatives and similar repositories for big_transfer
Users that are interested in big_transfer are comparing it to the libraries listed below
Sorting:
- This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423☆1,042Updated 3 years ago
- An end-to-end PyTorch framework for image and video classification☆1,604Updated last year
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,284Updated last year
- Code for Noisy Student Training. https://arxiv.org/abs/1911.04252☆761Updated 4 years ago
- Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute☆1,533Updated 4 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆990Updated last month
- Official Implementation of 'Fast AutoAugment' in PyTorch.☆1,605Updated 4 years ago
- Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS☆1,572Updated last year
- Codebase for Image Classification Research, written in PyTorch.☆2,156Updated last year
- Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow☆1,487Updated 2 years ago
- PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882☆2,047Updated 2 years ago
- pip install antialiased-cnns to improve stability and accuracy☆1,678Updated last year
- Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improv…☆799Updated 2 years ago
- Visualization toolkit for neural networks in PyTorch! Demo -->☆740Updated last year
- Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper☆767Updated 2 years ago
- Official Pytorch implementation of CutMix regularizer☆1,240Updated 4 years ago
- A learning rate range test implementation in PyTorch☆970Updated 2 weeks ago
- Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"☆1,063Updated 11 months ago
- Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch☆1,832Updated 11 months ago
- Standalone TFRecord reader/writer with PyTorch data loaders☆886Updated last month
- Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase☆1,202Updated last year
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,730Updated this week
- SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners☆4,314Updated 2 years ago
- A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights☆1,630Updated 10 months ago
- PyTorch extensions for fast R&D prototyping and Kaggle farming☆1,548Updated 2 weeks ago
- ☆1,141Updated 2 years ago
- Unofficial PyTorch Reimplementation of RandAugment.☆637Updated 2 years ago
- Collection of common code that's shared among different research projects in FAIR computer vision team.☆2,148Updated last week
- mixup: Beyond Empirical Risk Minimization☆1,183Updated 3 years ago
- A smaller subset of 10 easily classified classes from Imagenet, and a little more French☆1,045Updated 2 years ago