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:
- Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.☆143Updated last year
- ☆57Updated 3 years ago
- Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"☆82Updated last year
- CIFAR-5m dataset☆39Updated 4 years ago
- Whitening for Self-Supervised Representation Learning | Official repository☆131Updated 2 years ago
- Implementation of Barlow Twins paper☆99Updated 3 years ago
- Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning☆133Updated 3 years ago
- Last-layer Laplace approximation code examples☆83Updated 4 years ago
- Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020☆50Updated 4 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆129Updated 2 years ago
- Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020☆174Updated last year
- Belief matching framework official implementation☆41Updated 2 years ago
- Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"☆36Updated 2 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆75Updated 5 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network☆150Updated 4 years ago
- PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results☆210Updated last year
- Code for the intrinsic dimensionality estimate of data representations☆86Updated 5 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated last year
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆85Updated 2 years ago
- Code for paper "Orthogonal Convolutional Neural Networks".☆119Updated 4 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆88Updated 3 years ago
- Distributional Sliced-Wasserstein distance code☆50Updated last year
- Code for "Supermasks in Superposition"☆124Updated 2 years ago
- ☆133Updated 4 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆93Updated 4 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 2 years ago
- Code for Neural Manifold Clustering and Embedding☆61Updated 3 years ago