YeonwooSung / SelfSupervisedLearning_PyTorchLinks
PyTorch Implementation of Self-Supervised Learning models
☆12Updated 4 years ago
Alternatives and similar repositories for SelfSupervisedLearning_PyTorch
Users that are interested in SelfSupervisedLearning_PyTorch are comparing it to the libraries listed below
Sorting:
- Github code for the paper Maximum Class Separation as Inductive Bias in One Matrix. Arxiv link: https://arxiv.org/abs/2206.08704☆29Updated 2 years ago
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆51Updated 3 years ago
- [WACV21] Code for our paper: Samuel, Atzmon and Chechik, "From Generalized zero-shot learning to long-tail with class descriptors"☆28Updated 4 years ago
- Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"☆41Updated 4 years ago
- Implementation of Cross Transformer for spatially-aware few-shot transfer, in Pytorch☆53Updated 4 years ago
- Regularizing Meta-Learning via Gradient Dropout☆53Updated 5 years ago
- Evaluating AlexNet features at various depths☆40Updated 4 years ago
- ☆42Updated 6 years ago
- PyTorch implementation of PatchAutoAugment☆23Updated 3 years ago
- Code for the paper "Training CNNs with Selective Allocation of Channels" (ICML 2019)☆25Updated 6 years ago
- PyTorch implementation of "Self-Supervised Classification Network" from ECCV 2022☆48Updated 2 years ago
- TensorFlow 2 implementation of the paper Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution …☆45Updated 3 years ago
- [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks☆94Updated 4 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Updated last year
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆41Updated 4 years ago
- ☆45Updated 3 years ago
- PyTorch implementation of "STNs" and "Delta-STNs".☆50Updated 4 years ago
- Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"☆82Updated last year
- Stochastic Weight Averaging Tutorials using pytorch.☆33Updated 4 years ago
- Pytorch implementation of the DWP with application to MRI segmentation☆9Updated 4 years ago
- Official implementation of paper "ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datas…☆26Updated 3 years ago
- This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…☆77Updated 3 years ago
- Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.☆29Updated 4 years ago
- Code base for SRSGD.☆28Updated 5 years ago
- ☆58Updated 3 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 4 years ago
- ☆13Updated 4 years ago
- (ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Rob…☆78Updated 2 years ago
- Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"☆36Updated last year