Alternatives and similar repositories for fixmatch-pytorch:

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

• valencebond / FixMatch_pytorch
  Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
  ☆48Updated 2 years ago
• hankook / SLA
  Self-supervised Label Augmentation via Input Transformations (ICML 2020)
  ☆104Updated 4 years ago
• thuml / CoTuning
  Code release for NeurIPS 2020 paper "Co-Tuning for Transfer Learning"
  ☆40Updated 2 years ago
• thuml / TransNorm
  Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)
  ☆79Updated 4 years ago
• salesforce / MoPro
  MoPro: Webly Supervised Learning
  ☆87Updated 4 years ago
• VisionLearningGroup / visda21-dev
  ☆46Updated 3 years ago
• Lee-Gihun / MixCo-Mixup-Contrast
  (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"
  ☆58Updated 2 years ago
• google-research / s4l
  Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning
  ☆95Updated 5 years ago
• YU1ut / JointOptimization
  Code for 'Joint Optimization Framework for Learning with Noisy Labels'
  ☆38Updated 6 years ago
• ContrastToDivide / C2D
  PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"
  ☆71Updated 3 years ago
• google-research / remixmatch
  ☆130Updated 2 years ago
• chandar-lab / PatchUp
  ☆38Updated 2 years ago
• PaulAlbert31 / ReLaB
  Official repository for Reliable Label Bootstrapping
  ☆19Updated last year
• songweige / Contrastive-Learning-with-Non-Semantic-Negatives
  Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)
  ☆38Updated 3 years ago
• dvornikita / SUR
  Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"
  ☆41Updated 3 years ago
• brjathu / SKD
  SKD : Self-supervised Knowledge Distillation for Few-shot Learning
  ☆96Updated last year
• jramapuram / BYOL
  Bootstrap Your Own Latent (BYOL) pytorch implementation using DistributedDataParallel.
  ☆28Updated 2 years ago
• zsef123 / Large_Margin_Loss_PyTorch
  A PyTorch Implementation of a Large Margin Deep Networks for Classification
  ☆23Updated 5 years ago
• yueatsprograms / uda_release
  Unsupervised Domain Adaptation through Self-Supervision
  ☆79Updated 3 years ago
• mboudiaf / TIM
  (NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297
  ☆119Updated last year
• yingyichen-cyy / Nested-Co-teaching
  (L2ID@CVPR2021, TNNLS2022) Boosting Co-teaching with Compression Regularization for Label Noise
  ☆48Updated 2 years ago
• cvl-umass / ssl-evaluation
  Evaluation of semi-supervised learning on challenging datasets
  ☆35Updated 3 years ago
• caiqi / Joint-Contrastive-Learning
  ☆42Updated 4 years ago
• stanford-futuredata / sinkhorn-label-allocation
  Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…
  ☆53Updated 3 years ago
• VITA-Group / SDCLR
  [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang
  ☆63Updated 3 years ago
• roysubhankar / dwt-domain-adaptation
  Code for paper "Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss" (CVPR 2019)
  ☆64Updated 3 years ago
• qinenergy / adanet
  [ICCV 2019 oral] Code for Semi-Supervised Learning by Augmented Distribution Alignment
  ☆62Updated 3 years ago
• uvavision / Curriculum-Labeling
  [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning
  ☆137Updated 4 years ago
• chenpf1025 / noisy_label_understanding_utilizing
  ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
  ☆90Updated 4 years ago
• VectorInstitute / gram-ood-detection
  ☆46Updated 4 years ago