Alternatives and similar repositories for ssl-suite

Users that are interested in ssl-suite are comparing it to the libraries listed below

• moskomule / homura
  homura is a library for fast prototyping DL research
  ☆106Updated 3 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".
  ☆102Updated 5 years ago
• SeongokRyu / mutual_information_and_self-supervised_learning
  Notes and tutorials on "Mutual information and self-supervised learning"
  ☆39Updated 5 years ago
• uclaml / Padam
  Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …
  ☆39Updated 2 years ago
• MSiam / Few-Shot-Learning
  ☆100Updated 5 years ago
• dot-delta / Meta-SGD
  Meta-SGD Algorithms Implementation
  ☆22Updated last year
• moskomule / mixup.pytorch
  an implementation of mixup
  ☆41Updated 4 years ago
• microsoft / metric-transfer.pytorch
  Deep Metric Transfer for Label Propagation with Limited Annotated Data
  ☆49Updated 2 years ago
• moskomule / shampoo.pytorch
  An implementation of shampoo
  ☆77Updated 7 years ago
• vfdev-5 / UDA-pytorch
  Unsupervised Data Augmentation experiments in PyTorch
  ☆60Updated 6 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).
  ☆34Updated 5 years ago
• MSusik / Inhibited-softmax
  Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"
  ☆25Updated 6 years ago
• moskomule / cca.pytorch
  CCAs for looking into DNNs
  ☆70Updated 5 years ago
• chenpf1025 / noisy_label_understanding_utilizing
  ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
  ☆91Updated 4 years ago
• ramprs / neuron-importance-zsl
  [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance
  ☆57Updated 6 years ago
• 1202kbs / Rectified-Gradient
  Official repository for "Why are Saliency Maps Noisy? Cause of and Solution to Noisy Saliency Maps".
  ☆34Updated 5 years ago
• technicolor-research / sodeep
  ☆71Updated 6 years ago
• odegeasslbc / pytorch-IBGAN
  A pytorch implementation of Information Bottleneck GAN
  ☆28Updated 6 years ago
• wang3702 / EnAET
  EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning
  ☆69Updated 2 years ago
• PaulAlbert31 / ReLaB
  Official repository for Reliable Label Bootstrapping
  ☆19Updated 2 years ago
• holyseven / TransferLearningClassification
  Xuhong Li, Yves Grandvalet, and Franck Davoine. "Explicit Inductive Bias for Transfer Learning with Convolutional Networks." In ICML 2018…
  ☆56Updated 7 years ago
• chainer / models
  Models and examples built with Chainer
  ☆119Updated 3 years ago
• nocotan / born_again_neuralnet
  Unofficial pytorch implementation of Born-Again Neural Networks.
  ☆55Updated 4 years ago
• moskomule / dda
  Differentiable Data Augmentation Library
  ☆123Updated 2 years ago
• Newbeeer / L_DMI
  Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"
  ☆119Updated 2 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 5 years ago
• moskomule / pytorch.snapshot.ensembles
  PyTorch implementation of "SNAPSHOT ENSEMBLES: TRAIN 1, GET M FOR FREE" [WIP]
  ☆36Updated 8 years ago
• imenurok / ShakeDrop
  Torch implementation of the paper "ShakeDrop regularization" (https://arxiv.org/abs/1802.02375).
  ☆21Updated 7 years ago
• katsura-jp / efficientnet-pytorch
  PyTorch implementation of "EfficientNet", ICML 2019
  ☆45Updated 6 years ago
• fmcarlucci / ADAGE
  Pytorch implementation of "Hallucinating Agnostic Images to Generalize Across Domains"
  ☆11Updated 6 years ago