facebookresearch / fair_self_supervision_benchmarkLinks
Scaling and Benchmarking Self-Supervised Visual Representation Learning
☆586Updated 3 years ago
Alternatives and similar repositories for fair_self_supervision_benchmark
Users that are interested in fair_self_supervision_benchmark are comparing it to the libraries listed below
Sorting:
- ☆351Updated 5 years ago
- Public repo for Augmented Multiscale Deep InfoMax representation learning☆400Updated 4 years ago
- Implements the unsupervised pre-training of convolutional neural networks☆251Updated 3 years ago
- Standardizing weights to accelerate micro-batch training☆549Updated 3 years ago
- Unsupervised Feature Learning via Non-parametric Instance Discrimination☆754Updated 4 years ago
- ☆518Updated last year
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆345Updated 4 years ago
- Pretrained bag-of-local-features neural networks☆312Updated 5 years ago
- Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)☆541Updated 10 months ago
- Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)☆866Updated 2 years ago
- Semi-supervised ImageNet1K models☆243Updated 5 years ago
- How to use Cross Replica / Synchronized Batchnorm in Pytorch☆248Updated 6 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆989Updated 3 weeks ago
- A Pytorch-Lightning implementation of self-supervised algorithms☆539Updated 3 years ago
- Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.☆596Updated 4 years ago
- ☆521Updated 3 years ago
- Efficient Learning of Augmentation Policy Schedules☆507Updated 5 years ago
- (ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning"…☆341Updated 3 years ago
- A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."☆313Updated 5 years ago
- Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆459Updated 5 years ago
- Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019☆612Updated 3 years ago
- Reproduction of Momentum Contrast for Unsupervised Visual Representation Learning☆120Updated 10 months ago
- Unofficial PyTorch Reimplementation of RandAugment.☆636Updated 2 years ago
- PyTorch Implementation for Deep Metric Learning Pipelines☆573Updated 5 years ago
- ☆370Updated 4 years ago
- Gradient based receptive field estimation for Convolutional Neural Networks☆339Updated 5 years ago
- [arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis☆1,325Updated 4 years ago
- Improving Consistency-Based Semi-Supervised Learning with Weight Averaging☆186Updated 6 years ago
- Deal with bad samples in your dataset dynamically, use Transforms as Filters, and more!☆377Updated 2 years ago
- PyTorch Implementation of `No Fuss Distance Metric Learning using Proxies`.☆182Updated 5 years ago