google-research / big_transferLinks
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
☆1,537Updated last year
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☆1,045Updated 4 years ago
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,292Updated last year
- An end-to-end PyTorch framework for image and video classification☆1,610Updated last year
- Codebase for Image Classification Research, written in PyTorch.☆2,165Updated last year
- Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute☆1,530Updated 4 years ago
- Code for Noisy Student Training. https://arxiv.org/abs/1911.04252☆765Updated 4 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆989Updated 5 months ago
- PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882☆2,081Updated 2 years ago
- Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS☆1,582Updated last year
- Official Implementation of 'Fast AutoAugment' in PyTorch.☆1,609Updated 4 years ago
- Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow☆1,491Updated 2 years ago
- pip install antialiased-cnns to improve stability and accuracy☆1,678Updated last year
- Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch☆1,852Updated last year
- Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper☆776Updated 2 years ago
- Official Pytorch implementation of CutMix regularizer☆1,247Updated 5 years ago
- Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase☆1,206Updated last year
- A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights☆1,642Updated last year
- A simple method to perform semi-supervised learning with limited data.☆1,183Updated last year
- ☆1,144Updated 2 years ago
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,748Updated last week
- Deep Clustering for Unsupervised Learning of Visual Features☆1,735Updated 4 years ago
- Stochastic Weight Averaging in PyTorch☆977Updated 4 years ago
- SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners☆4,396Updated 2 years ago
- Code for the Convolutional Vision Transformer (ConViT)☆470Updated 4 years ago
- Implementation of EfficientNet model. Keras and TensorFlow Keras.☆2,098Updated last year
- SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]☆1,451Updated 2 years ago
- PyTorch implementation of Barlow Twins.☆995Updated 3 years ago
- mixup: Beyond Empirical Risk Minimization☆1,192Updated 4 years ago
- Official DeiT repository☆4,280Updated last year
- Gradually-Warmup Learning Rate Scheduler for PyTorch☆991Updated last year