ae-foster / pytorch-simclrLinks
A PyTorch reproduction of 'A Simple Framework for Contrastive Learning of Visual Representations' by Ting Chen, et al.
☆48Updated last year
Alternatives and similar repositories for pytorch-simclr
Users that are interested in pytorch-simclr are comparing it to the libraries listed below
Sorting:
- ☆57Updated 3 years ago
- Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.☆143Updated last year
- Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020☆173Updated last year
- PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results☆208Updated last year
- Whitening for Self-Supervised Representation Learning | Official repository☆129Updated 2 years ago
- Implementation of Barlow Twins paper☆99Updated 2 years ago
- Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"☆82Updated last year
- Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning☆131Updated 3 years ago
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆51Updated 4 years ago
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆128Updated last year
- Unofficial Pytorch code for "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence" in NeurIPS'20. This repo co…☆190Updated 4 years ago
- A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network☆144Updated 4 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆74Updated 5 years ago
- Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020☆50Updated 4 years ago
- Code for paper "Orthogonal Convolutional Neural Networks".☆118Updated 4 years ago
- Code for "Supermasks in Superposition"☆124Updated last year
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆87Updated 3 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 2 years ago
- Distributional Sliced-Wasserstein distance code☆50Updated last year
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆160Updated last year
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)☆159Updated 3 years ago
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- NeurIPS 2020, Debiased Contrastive Learning☆283Updated 2 years ago
- FFCV-SSL Fast Forward Computer Vision for Self-Supervised Learning.☆208Updated 2 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- ICLR 2021 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning☆78Updated last year
- Last-layer Laplace approximation code examples☆82Updated 3 years ago
- Code for Neural Manifold Clustering and Embedding☆60Updated 3 years ago