MECLabTUDA / Super_SelfishLinks
Unified Pytorch framework for image-based self-supervised learning
☆93Updated 4 years ago
Alternatives and similar repositories for Super_Selfish
Users that are interested in Super_Selfish are comparing it to the libraries listed below
Sorting:
- Implementation of the paper Self-Supervised Learning of Pretext-Invariant Representations☆89Updated 5 years ago
- Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning☆95Updated 5 years ago
- SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition (ICCV 2021)☆98Updated 2 years ago
- Differentiable Data Augmentation Library☆123Updated 3 years ago
- MoEx (Moment Exchange)☆141Updated 4 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆68Updated 2 years ago
- PyTorch Implementation of Contrastive Predictive Coding for image recognition, based on research papers https://arxiv.org/abs/1807.03748 …☆81Updated 5 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆81Updated last year
- Code for reproducing experiments in "How Useful is Self-Supervised Pretraining for Visual Tasks?"☆60Updated last year
- Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]☆89Updated 4 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆48Updated 3 years ago
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆105Updated 3 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- Repository providing a wide range of self-supervised pretrained models for computer vision tasks.☆61Updated 4 years ago
- ☆70Updated 4 years ago
- PyTorch implementation of "Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning" with DDP and Apex AMP☆82Updated 5 years ago
- ☆88Updated 5 years ago
- Bootstrap Your Own Latent (BYOL) pytorch implementation using DistributedDataParallel.☆28Updated 2 years ago
- Code for the paper "Reinforced Active Learning for Image Segmentation"☆99Updated 4 years ago
- Official code for "Mean Shift for Self-Supervised Learning"☆57Updated 3 years ago
- Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"☆99Updated 4 years ago
- ☆42Updated 4 years ago
- [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks☆94Updated 4 years ago
- This Python package enables the training and inference of deep learning models for very large data, such as megapixel images, using atten…☆97Updated 6 years ago
- Addressing Failure Prediction by Learning Model Confidence☆173Updated 2 years ago
- Evaluating AlexNet features at various depths☆40Updated 4 years ago
- Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.☆152Updated 3 years ago
- Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"☆185Updated last year
- Learning Loss for Active Learning Pytorch Implementation,(reproduction)☆32Updated 5 years ago
- Self-Supervised Representation Learning by Rotation Feature Decoupling☆95Updated 6 years ago