YeonwooSung / SelfSupervisedLearning_PyTorch
PyTorch Implementation of Self-Supervised Learning models
☆10Updated 3 years ago
Related projects: ⓘ
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆51Updated 3 years ago
- A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners☆75Updated 2 years ago
- An unofficial PyTorch implementation of Unsupervised Data Augmentation☆15Updated 2 years ago
- Official implementation of paper "ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datas…☆25Updated 3 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆55Updated 5 years ago
- Pytorch implementation of Exploring Simple Siamese Representation Learning☆19Updated last year
- An education step by step implementation of SimCLR that accompanies the blogpost☆31Updated 2 years ago
- An uncertainty-based random sampling algorithm for data augmentation☆29Updated 4 years ago
- Benchmark for Data-Efficient Image Classification☆23Updated last year
- PyTorch implementation of PatchAutoAugment☆22Updated 2 years ago
- TF 2.x implementation of MoCo v1 (Momentum Contrast for Unsupervised Visual Representation Learning, CVPR 2020) and MoCo v2 (Improved Bas…☆27Updated 3 years ago
- SiT: Self-supervised vision Transformer☆19Updated 3 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
- Implementation of Cross Transformer for spatially-aware few-shot transfer, in Pytorch☆50Updated 3 years ago
- Github code for the paper Maximum Class Separation as Inductive Bias in One Matrix. Arxiv link: https://arxiv.org/abs/2206.08704☆27Updated last year
- Awesome-Representation-Learning-CV-PaperAndCodes, lasted development in the representation learning area.☆33Updated last year
- AAAI 2021: Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels☆23Updated 3 years ago
- Implementation of "compositional attention" from MILA, a multi-head attention variant that is reframed as a two-step attention process wi…☆50Updated 2 years ago
- Stochastic Weight Averaging Tutorials using pytorch.☆33Updated 3 years ago
- [CogSci'21] Study of human inductive biases in CNNs and Transformers.☆42Updated 3 years ago
- A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network☆119Updated 3 years ago
- This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…☆75Updated 2 years ago
- [WACV21] Code for our paper: Samuel, Atzmon and Chechik, "From Generalized zero-shot learning to long-tail with class descriptors"☆28Updated 3 years ago
- ☆24Updated 2 years ago
- A crash course on PyTorch hooks☆40Updated 4 years ago
- Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.☆28Updated 4 years ago
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 3 years ago
- Pytorch implementation of the DWP with application to MRI segmentation☆9Updated 4 years ago
- Whitening for Self-Supervised Representation Learning | Official repository☆123Updated last year
- Simple but high-performing method for learning a policy of test-time augmentation☆38Updated last year