Alternatives and similar repositories for sampling_matters

Users that are interested in sampling_matters are comparing it to the libraries listed below

• littleredxh / HardNegative
  ☆51Updated 4 years ago
• Zhaoxiangyun / Multi-Task-Modulation-Module
  Code release for paper "A Modulation Module for Multi-task Learning with Applications in Image Retrieval"
  ☆32Updated 6 years ago
• XinbangZhang / DATA-NAS
  Codes for DATA: Differentiable ArchiTecture Approximation.
  ☆11Updated 3 years ago
• google-research / noisy-fewshot-learning
  ☆23Updated 4 years ago
• maciejzieba / tripletGAN
  code for triplet GAN
  ☆31Updated 7 years ago
• zihangm / RAL_GNN
  ☆20Updated 6 years ago
• SHTUPLUS / ContextLab
  ContextLab: A Toolbox for Context Feature Augmentation developed with PyTorch
  ☆39Updated 5 years ago
• Irynei / SafeAugmentation
  ☆16Updated last month
• eladhoffer / norm_matters
  ☆23Updated 6 years ago
• konstantinkobs / SimLoss
  A PyTorch implementation of our proposed loss function from the paper "SimLoss: Class Similarities in Cross Entropy"
  ☆25Updated 3 years ago
• wy1iu / NSL
  Implementation for <Neural Similarity Learning> in NeurIPS'19.
  ☆33Updated 4 years ago
• Jongchan / unsupervised_data_augmentation_pytorch
  A PyTorch implementation for Unsupervised Data Augmentation
  ☆23Updated 2 years ago
• ymcidence / JMLH
  Code for Paper: Embarrassingly Simple Binary Representation Learning
  ☆9Updated 5 years ago
• xjtushujun / Meta-weight-net_class-imbalance
  NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).
  ☆33Updated 5 years ago
• facebookresearch / image-to-set
  The project is about predicting sets (of classes) from images.
  ☆22Updated 3 years ago
• Confusezius / CVPR2020_PADS
  (CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet …
  ☆61Updated 4 years ago
• joe-siyuan-qiao / GUNN
  Gradually Updated Neural Networks for Large-Scale Image Recognition at ICML 2018
  ☆10Updated 6 years ago
• vithursant / SPL-ADVisE
  PyTorch code for BMVC 2018 paper: "Self-Paced Learning with Adaptive Visual Embeddings"
  ☆21Updated 5 years ago
• xiangli13 / circle-loss
  tf2.0 implementation of circle loss
  ☆32Updated 5 years ago
• sun254 / awesome-transfer-learning
  a list of recent papers on transfer learning
  ☆24Updated 7 years ago
• SeongokRyu / mutual_information_and_self-supervised_learning
  Notes and tutorials on "Mutual information and self-supervised learning"
  ☆39Updated 5 years ago
• sungraepark / Adversarial-Dropout
  ☆32Updated 6 years ago
• biswajitsc / sparse-embed
  Code for paper 'Minimizing FLOPs to Learn Efficient Sparse Representations' published at ICLR 2020
  ☆20Updated 5 years ago
• 2han9x1a0release / RBF-Softmax
  ☆37Updated 4 years ago
• titu1994 / lambda_networks_pt
  Lambda Networks implemented in PyTorch
  ☆13Updated 4 years ago
• eladhoffer / fix_your_classifier
  ☆34Updated 6 years ago
• Dyfine / SphericalEmbedding
  official pytorch implementation of "Deep Metric Learning with Spherical Embedding", NeurIPS 2020
  ☆41Updated 4 years ago
• fmcarlucci / ADAGE
  Pytorch implementation of "Hallucinating Agnostic Images to Generalize Across Domains"
  ☆11Updated 5 years ago
• XinshaoAmosWang / Deep-Metric-Embedding
  Papers and Codes about Deep Metric Learning/Deep Embedding
  ☆35Updated 5 years ago
• zqs1022 / partGraphForCNN
  growing interpretable part graphs on convnets via multi-shot learning, in AAAI 2017
  ☆16Updated 8 years ago