Alternatives and similar repositories for dac-label-noise

Users that are interested in dac-label-noise are comparing it to the libraries listed below

• chenpf1025 / noisy_label_understanding_utilizing
  ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
  ☆91Updated 4 years ago
• ashafaei / OD-test
  OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)
  ☆62Updated last year
• haebeom-lee / dropmax
  Tensorflow implementation of DropMax: Adaptive Variational Softmax (NeurIPS2018)
  ☆18Updated 5 years ago
• srebuffi / lsd-clusters
  ☆46Updated 2 years ago
• bhanML / coteaching_plus
  ICML'19: How does Disagreement Help Generalization against Label Corruption?
  ☆21Updated 5 years ago
• kfzyqin / Research-Softmax-with-Mutual-Information
  Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".
  ☆101Updated 5 years ago
• google-research / remixmatch
  ☆129Updated 2 years ago
• FelixAbrahamsson / mixmatch-pytorch
  An implementation of MixMatch with PyTorch
  ☆36Updated 4 years ago
• zsef123 / Large_Margin_Loss_PyTorch
  A PyTorch Implementation of a Large Margin Deep Networks for Classification
  ☆23Updated 6 years ago
• google-research / s4l
  Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning
  ☆94Updated 5 years ago
• XinshaoAmosWang / Improving-Mean-Absolute-Error-against-CCE
  Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude’s Variance Matters
  ☆30Updated 4 years ago
• EvZissel / Residual-Flow
  An implementation of the Residual Flow algorithm for out-of-distribution detection.
  ☆31Updated 3 years ago
• psmmettes / hpn
  Hyperspherical Prototype Networks
  ☆67Updated 5 years ago
• mmazeika / glc
  Gold Loss Correction
  ☆87Updated 6 years ago
• jlezama / disentangling-jacobian
  Source code for ICLR 2019 paper
  ☆24Updated 4 years ago
• princeton-vl / selfstudy
  Code for reproducing experiments in "How Useful is Self-Supervised Pretraining for Visual Tasks?"
  ☆60Updated 10 months 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
• maple-research-lab / EnAET
  EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning
  ☆81Updated last year
• LiJunnan1992 / MLNT
  Meta-Learning based Noise-Tolerant Training
  ☆125Updated 4 years ago
• eladhoffer / fix_your_classifier
  ☆34Updated 6 years ago
• hrayrhar / limit-label-memorization
  Improving generalization by controlling label-noise information in neural network weights.
  ☆40Updated 4 years ago
• ShiyuLiang / odin-pytorch
  Principled Detection of Out-of-Distribution Examples in Neural Networks
  ☆202Updated 7 years ago
• ruthcfong / net2vec
  Code for Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks
  ☆30Updated 7 years ago
• xiangjjj / implicit_alignment
  Code for ICML2020 "Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation"
  ☆90Updated 4 years ago
• j-min / Dropouts
  PyTorch Implementations of Dropout Variants
  ☆87Updated 7 years ago
• mpezeshki / Gradient_Starvation
  Gradient Starvation: A Learning Proclivity in Neural Networks
  ☆61Updated 4 years ago
• benathi / fastswa-semi-sup
  Improving Consistency-Based Semi-Supervised Learning with Weight Averaging
  ☆186Updated 6 years ago
• gabrielhuang / centroid-networks
  Code for the Paper "Centroid Networks for Few-Shot Clustering and Unsupervised Few-Shot Classification"
  ☆23Updated 5 years ago
• moskomule / shampoo.pytorch
  An implementation of shampoo
  ☆74Updated 7 years ago
• JerryYLi / Dataset-REPAIR
  REPresentAtion bIas Removal (REPAIR) of datasets
  ☆56Updated 2 years ago