Alternatives and similar repositories for mixmatch-pytorch

Users that are interested in mixmatch-pytorch are comparing it to the libraries listed below

• galatolofederico / pytorch-balanced-batch
  A pytorch dataset sampler for always sampling balanced batches.
  ☆118Updated 4 years ago
• vfdev-5 / UDA-pytorch
  Unsupervised Data Augmentation experiments in PyTorch
  ☆59Updated 6 years ago
• eladhoffer / fix_your_classifier
  ☆34Updated 6 years ago
• HazyResearch / tanda
  Learning to Compose Domain-Specific Transformations for Data Augmentation
  ☆172Updated 2 years ago
• uber-research / loss-change-allocation
  ☆61Updated 2 years ago
• j-min / Dropouts
  PyTorch Implementations of Dropout Variants
  ☆87Updated 7 years ago
• eelxpeng / UnsupervisedDeepLearning-Pytorch
  This repository tries to provide unsupervised deep learning models with Pytorch
  ☆90Updated 7 years ago
• skywaLKer518 / MultiplicativeMultimodal
  ☆30Updated 7 years ago
• chenpf1025 / noisy_label_understanding_utilizing
  ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
  ☆91Updated 4 years ago
• ItzikMalkiel / MTAdam
  MTAdam: Automatic Balancing of Multiple Training Loss Terms
  ☆36Updated 4 years ago
• thulas / dac-label-noise
  Label de-noising for deep learning
  ☆58Updated 5 years ago
• epfml / collaborative-attention
  Code for Multi-Head Attention: Collaborate Instead of Concatenate
  ☆151Updated 2 years ago
• aakashrkaku / intermdiate_layer_matter_ssl
  The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.
  ☆40Updated 3 years ago
• tanyuqian / learning-data-manipulation
  NeurIPS 2019 - Learning Data Manipulation for Augmentation and Weighting
  ☆110Updated 5 years ago
• kondiz / casme
  ☆72Updated 5 years ago
• kundajelab / abstention
  Algorithms for abstention, calibration and domain adaptation to label shift.
  ☆37Updated 4 years ago
• lnsmith54 / BOSS
  This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…
  ☆36Updated 5 years ago
• vinayprabhu / Disentanglement_NEURIPS_2019
  On disentangling the menagerie of disentanglement papers
  ☆27Updated 5 years ago
• moskomule / cca.pytorch
  CCAs for looking into DNNs
  ☆70Updated 5 years ago
• ashafaei / OD-test
  OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)
  ☆62Updated last year
• facebookresearch / qhoptim
  Implementations of quasi-hyperbolic optimization algorithms.
  ☆102Updated 5 years ago
• EricArazo / PseudoLabeling
  Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"
  ☆155Updated 5 years ago
• vene / sparse-structured-attention
  Sparse and structured neural attention mechanisms
  ☆225Updated 5 years ago
• apple / ml-capsules-inverted-attention-routing
  ☆124Updated 3 years ago
• kundajelab / labelshiftexperiments
  Label shift experiments
  ☆17Updated 4 years ago
• oval-group / smooth-topk
  Smooth Loss Functions for Deep Top-k Classification
  ☆258Updated 4 years ago
• mmazeika / glc
  Gold Loss Correction
  ☆88Updated 6 years ago
• lolemacs / soft-sharing
  Implementation of soft parameter sharing for neural networks
  ☆70Updated 4 years ago
• vikasverma1077 / ICT
  Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)
  ☆148Updated 3 years ago
• greentfrapp / cond-shift-neurons
  Implementation of Conditionally Shifted Neurons by Munkhdalai et al. (https://arxiv.org/pdf/1712.09926.pdf)
  ☆28Updated 7 years ago