gidariss / FeatureLearningRotNet

Related projects: ⓘ

• zhirongw / lemniscate.pytorch
  Unsupervised Feature Learning via Non-parametric Instance Discrimination
  ☆746Updated 3 years ago
• facebookresearch / fair_self_supervision_benchmark
  Scaling and Benchmarking Self-Supervised Visual Representation Learning
  ☆587Updated 2 years ago
• sthalles / PyTorch-BYOL
  PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
  ☆476Updated 2 years ago
• zhmiao / OpenLongTailRecognition-OLTR
  Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)
  ☆841Updated 2 years ago
• Philip-Bachman / amdim-public
  Public repo for Augmented Multiscale Deep InfoMax representation learning
  ☆396Updated 4 years ago
• kazuto1011 / grad-cam-pytorch
  PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)
  ☆783Updated 4 years ago
• yukimasano / self-label
  Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)
  ☆529Updated last month
• gidariss / FewShotWithoutForgetting
  ☆518Updated 3 years ago
• ildoonet / pytorch-randaugment
  Unofficial PyTorch Reimplementation of RandAugment.
  ☆627Updated last year
• kjunelee / MetaOptNet
  Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
  ☆523Updated last month
• richardaecn / class-balanced-loss
  Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
  ☆599Updated 3 years ago
• HobbitLong / CMC
  [arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis
  ☆1,299Updated 3 years ago
• yaoyao-liu / mini-imagenet-tools
  Tools for generating mini-ImageNet dataset and processing batches
  ☆421Updated 3 years ago
• jhoffman / cycada_release
  Code to accompany ICML 2018 paper
  ☆558Updated 2 years ago
• mangye16 / Unsupervised_Embedding_Learning
  Code for Unsupervised Embedding Learning via Invariant and Spreading Instance Feature
  ☆208Updated 5 years ago
• wasidennis / AdaptSegNet
  Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
  ☆847Updated 4 years ago
• google / revisiting-self-supervised
  ☆350Updated 4 years ago
• miguelvr / dropblock
  Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
  ☆586Updated 4 years ago
• leaderj1001 / Stand-Alone-Self-Attention
  Implementing Stand-Alone Self-Attention in Vision Models using Pytorch
  ☆454Updated 4 years ago
• bbrattoli / JigsawPuzzlePytorch
  Pytorch implementation of the method from the paper "Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles"
  ☆165Updated 6 years ago
• kdhht2334 / Survey_of_Deep_Metric_Learning
  ☆466Updated this week
• vikasverma1077 / manifold_mixup
  Code for reproducing Manifold Mixup results (ICML 2019)
  ☆482Updated 5 months ago
• Confusezius / Deep-Metric-Learning-Baselines
  PyTorch Implementation for Deep Metric Learning Pipelines
  ☆575Updated 4 years ago
• xternalz / WideResNet-pytorch
  Wide Residual Networks (WideResNets) in PyTorch
  ☆331Updated 3 years ago
• peisuke / MomentumContrast.pytorch
  Reproduction of Momentum Contrast for Unsupervised Visual Representation Learning
  ☆120Updated last month
• wielandbrendel / bag-of-local-features-models
  Pretrained bag-of-local-features neural networks
  ☆311Updated 5 years ago
• edgarschnfld / CADA-VAE-PyTorch
  Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)
  ☆281Updated last year
• WangYueFt / rfs
  ☆367Updated 3 years ago
• facebookresearch / mixup-cifar10
  mixup: Beyond Empirical Risk Minimization
  ☆1,156Updated 2 years ago
• chaeyoung-lee / pytorch-CAM
  Class Activation Mapping written in PyTorch.
  ☆153Updated 2 years ago