ajtejankar / byol-convert
Code and model definition for converting the official BYOL weights to PyTorch
☆32Updated 3 years ago
Alternatives and similar repositories for byol-convert
Users that are interested in byol-convert are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of "Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning" with DDP and Apex AMP☆81Updated 4 years ago
- A PyTorch converter for SimCLR checkpoints☆108Updated 4 years ago
- Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"☆183Updated last year
- Whitening for Self-Supervised Representation Learning | Official repository☆129Updated 2 years ago
- Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.☆151Updated 2 years ago
- (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"☆58Updated 2 years ago
- A PyTorch re-implementation of the paper 'Exploring Simple Siamese Representation Learning'. Reproduced the 67.8% Top1 Acc on ImageNet.☆78Updated 4 years ago
- Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]☆89Updated 3 years ago
- Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"☆56Updated 4 years ago
- Pretrained models for "What Makes Instance Discrimination Good for Transfer Learning?".☆29Updated 2 years ago
- Implementation of the paper Self-Supervised Learning of Pretext-Invariant Representations☆89Updated 4 years ago
- Compressing Representations for Self-Supervised Learning☆78Updated 4 years ago
- An implementation of "A Simple Framework for Contrastive Learning of Visual Representatoins" SimCLR☆33Updated 4 years ago
- ☆88Updated 4 years ago
- SwAV for CIFAR-10, adapted from https://github.com/facebookresearch/swav☆28Updated 3 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆106Updated 4 years ago
- Evaluation of semi-supervised learning on challenging datasets☆36Updated 3 years ago
- [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang☆63Updated 3 years ago
- Pretrained SimCLRv2 models in Pytorch☆105Updated 4 years ago
- Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learni…☆149Updated 5 years ago
- ☆66Updated 3 years ago
- ☆45Updated 3 years ago
- ImageNet-R(endition) and DeepAugment (ICCV 2021)☆266Updated 3 years ago
- Semi-Supervised Fine-Grained Recognition Challenge at FGVC7☆30Updated 2 years ago
- Implementation of the paper All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training☆45Updated 3 years ago
- Official PyTorch Implementation of Self-Taught Metric Learning without Labels, CVPR 2022☆39Updated 2 years ago
- Unsupervised Representation Learning by Invariance Propagation☆15Updated 4 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 4 years ago
- PyTorch dataset for CUB-200-2011☆56Updated 2 years ago