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
- PyTorch implementation of "Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning" with DDP and Apex AMP☆80Updated 4 years ago
- A PyTorch converter for SimCLR checkpoints☆109Updated 4 years ago
- Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"☆183Updated last year
- Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"☆55Updated 4 years ago
- Pretrained models for "What Makes Instance Discrimination Good for Transfer Learning?".☆29Updated 2 years ago
- (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"☆58Updated 2 years ago
- Whitening for Self-Supervised Representation Learning | Official repository☆129Updated 2 years ago
- A PyTorch re-implementation of the paper 'Exploring Simple Siamese Representation Learning'. Reproduced the 67.8% Top1 Acc on ImageNet.☆78Updated 3 years ago
- Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.☆151Updated 2 years ago
- ☆44Updated 3 years ago
- Compressing Representations for Self-Supervised Learning☆78Updated 4 years ago
- Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]☆88Updated 3 years ago
- Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.☆134Updated last year
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 4 years ago
- TTT Code Release☆109Updated 4 years ago
- Object-aware Contrastive Learning for Debiased Scene Representation (NeurIPS 2021)☆45Updated 3 years ago
- Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learni…☆148Updated 4 years ago
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆104Updated 4 years ago
- Semi-Supervised Fine-Grained Recognition Challenge at FGVC7☆30Updated 2 years ago
- Pytorch Code for "A Broad Study on the Transferability of Visual Representations with Contrastive Learning" (ICCV 2021)☆36Updated 2 years ago
- Evaluation of semi-supervised learning on challenging datasets☆35Updated 3 years ago
- Implementation of the paper Self-Supervised Learning of Pretext-Invariant Representations☆89Updated 4 years ago
- Pretrained SimCLRv2 models in Pytorch☆105Updated 4 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆119Updated 3 years ago
- Code for Continuously Changing Corruptions (CCC) benchmark + evaluation☆33Updated 6 months ago
- Code and models for the paper Shape-Texture Debiased Neural Network Training (ICLR 2021)☆108Updated last year
- ☆88Updated 4 years ago
- An implementation of "A Simple Framework for Contrastive Learning of Visual Representatoins" SimCLR☆33Updated 3 years ago
- This is the repo for the paper "Episodic Training for Domain Generalization" https://arxiv.org/abs/1902.00113☆57Updated last year
- ☆84Updated 2 years ago