ae-foster / pytorch-simclr
A PyTorch reproduction of 'A Simple Framework for Contrastive Learning of Visual Representations' by Ting Chen, et al.
☆47Updated 8 months ago
Alternatives and similar repositories for pytorch-simclr:
Users that are interested in pytorch-simclr are comparing it to the libraries listed below
- ☆58Updated 3 years ago
- Implementation of Barlow Twins paper☆99Updated 2 years ago
- PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results☆198Updated 9 months ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆85Updated 2 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆118Updated 3 years ago
- Whitening for Self-Supervised Representation Learning | Official repository☆129Updated 2 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆74Updated 5 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆40Updated 2 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"☆81Updated 10 months ago
- An implementation of "A Simple Framework for Contrastive Learning of Visual Representatoins" SimCLR☆33Updated 3 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆41Updated last year
- ☆107Updated last year
- Implementation of ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks, ICML 2021.☆141Updated 3 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 4 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆131Updated last year
- CIFAR-5m dataset☆38Updated 4 years ago
- ☆53Updated 6 months ago
- Code for Neural Manifold Clustering and Embedding☆57Updated 2 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆83Updated 2 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆70Updated 8 months ago
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 3 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆110Updated 2 years ago
- Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning☆131Updated 2 years ago
- An essential implementation of BYOL in PyTorch + PyTorch Lightning☆51Updated 3 years ago
- Implementation of Glow in PyTorch☆81Updated 4 years ago
- Code for paper "Orthogonal Convolutional Neural Networks".☆116Updated 3 years ago
- Last-layer Laplace approximation code examples☆82Updated 3 years ago
- ☆134Updated 3 years ago