Alternatives and similar repositories for mixmatch-pytorch

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

• vfdev-5 / UDA-pytorch
  Unsupervised Data Augmentation experiments in PyTorch
  ☆59Updated 5 years ago
• eladhoffer / fix_your_classifier
  ☆34Updated 6 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 4 years ago
• uber-research / loss-change-allocation
  ☆61Updated 2 years ago
• thulas / dac-label-noise
  Label de-noising for deep learning
  ☆58Updated 5 years ago
• galatolofederico / pytorch-balanced-batch
  A pytorch dataset sampler for always sampling balanced batches.
  ☆115Updated 4 years ago
• vinayprabhu / Disentanglement_NEURIPS_2019
  On disentangling the menagerie of disentanglement papers
  ☆27Updated 5 years ago
• greentfrapp / cond-shift-neurons
  Implementation of Conditionally Shifted Neurons by Munkhdalai et al. (https://arxiv.org/pdf/1712.09926.pdf)
  ☆28Updated 6 years ago
• j-min / Dropouts
  PyTorch Implementations of Dropout Variants
  ☆87Updated 7 years ago
• orlitany / SOSELETO
  pytorch implementation of SOSELETO
  ☆15Updated 5 years ago
• ariG23498 / G-SimCLR
  This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…
  ☆77Updated 3 years ago
• kefirski / variational_dropout
  Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
  ☆49Updated 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
• demelin / Noise-Contrastive-Estimation-NCE-for-pyTorch
  Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation pr…
  ☆45Updated 5 years ago
• liyu95 / SupportNet
  SupportNet: solving catastrophic forgetting in class incremental learning with support data
  ☆34Updated 6 years ago
• jtloong / sg2im-demo
  A web based demo of Google's sg2im neural network to convert a scene graph to a photorealistic image.
  ☆35Updated 6 years ago
• moskomule / cca.pytorch
  CCAs for looking into DNNs
  ☆70Updated 4 years ago
• Randl / kmeans_selfsuper
  ☆54Updated 3 years ago
• EricArazo / PseudoLabeling
  Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"
  ☆153Updated 4 years ago
• lolemacs / soft-sharing
  Implementation of soft parameter sharing for neural networks
  ☆69Updated 4 years ago
• hrayrhar / limit-label-memorization
  Improving generalization by controlling label-noise information in neural network weights.
  ☆40Updated 4 years ago
• facebookresearch / qhoptim
  Implementations of quasi-hyperbolic optimization algorithms.
  ☆102Updated 5 years ago
• leonardblier / alrao
  Implementation of "Learning with Random Learning Rates" in PyTorch.
  ☆102Updated 5 years ago
• ruthcfong / net2vec
  Code for Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks
  ☆30Updated 7 years ago
• udibr / noisy_labels
  TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER
  ☆118Updated 8 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 5 years ago
• ashafaei / OD-test
  OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)
  ☆62Updated last year
• mmazeika / glc
  Gold Loss Correction
  ☆87Updated 6 years ago
• tensorfreitas / Temporal-Ensembling-for-Semi-Supervised-Learning
  Implementation of Temporal Ensembling for Semi-Supervised Learning by Laine et al. with tensorflow eager execution
  ☆55Updated 5 years ago