tango4j / tensorflow-vs-pytorch

Related projects ⓘ

Alternatives and complementary repositories for tensorflow-vs-pytorch

• asappresearch / aum
  ☆80Updated last year
• takashiishida / flooding
  [ICML 2020] code for the flooding regularizer proposed in "Do We Need Zero Training Loss After Achieving Zero Training Error?"
  ☆91Updated last year
• FelixAbrahamsson / mixmatch-pytorch
  An implementation of MixMatch with PyTorch
  ☆36Updated 3 years ago
• epfml / collaborative-attention
  Code for Multi-Head Attention: Collaborate Instead of Concatenate
  ☆150Updated last year
• vfdev-5 / UDA-pytorch
  Unsupervised Data Augmentation experiments in PyTorch
  ☆59Updated 5 years ago
• j-min / Dropouts
  PyTorch Implementations of Dropout Variants
  ☆87Updated 6 years ago
• dnddnjs / pytorch-multigpu
  Multi GPU Training Code for Deep Learning with PyTorch
  ☆202Updated 4 years ago
• tanyuqian / learning-data-manipulation
  NeurIPS 2019 - Learning Data Manipulation for Augmentation and Weighting
  ☆109Updated 4 years ago
• mdiephuis / SimCLR
  Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"
  ☆79Updated 7 months ago
• sIncerass / powernorm
  [ICML 2020] code for "PowerNorm: Rethinking Batch Normalization in Transformers" https://arxiv.org/abs/2003.07845
  ☆119Updated 3 years ago
• wangz10 / contrastive_loss
  Experiments with supervised contrastive learning methods with different loss functions
  ☆214Updated last year
• leimao / Two-Layer-Hierarchical-Softmax-PyTorch
  Two-Layer Hierarchical Softmax Implementation for PyTorch
  ☆68Updated 3 years ago
• KrisKorrel / sparsemax-pytorch
  Implementation of Sparsemax activation in Pytorch
  ☆156Updated 4 years ago
• SeongokRyu / mutual_information_and_self-supervised_learning
  Notes and tutorials on "Mutual information and self-supervised learning"
  ☆39Updated 5 years ago
• yangkky / distributed_tutorial
  ☆262Updated 5 years ago
• akashkm99 / Interpretable-Attention
  Official Code for Towards Transparent and Explainable Attention Models paper (ACL 2020)
  ☆35Updated 2 years ago
• mpatacchiola / self-supervised-relational-reasoning
  Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.
  ☆143Updated 6 months ago
• thomlake / pytorch-attention
  pytorch neural network attention mechanism
  ☆147Updated 5 years ago
• vkakerbeck / Progressively-Growing-Networks
  Experiments on different dataset on how to grow networks during training to learn new image categories.
  ☆62Updated 4 years ago
• digantamisra98 / EvoNorm
  Unofficial PyTorch Implementation of EvoNorm
  ☆121Updated 3 years ago
• b-etienne / Seq2seq-PyTorch
  ☆77Updated 4 years ago
• keitakurita / Better_LSTM_PyTorch
  An LSTM in PyTorch with best practices (weight dropout, forget bias, etc.) built-in. Fully compatible with PyTorch LSTM.
  ☆133Updated 4 years ago
• nazim1021 / OOD-detection-using-OECC
  Outlier Exposure with Confidence Control for Out-of-Distribution Detection
  ☆69Updated 3 years ago
• janfreyberg / pytorch-revgrad
  A minimal pytorch package implementing a gradient reversal layer.
  ☆155Updated last week
• chenpf1025 / noisy_label_understanding_utilizing
  ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
  ☆90Updated 3 years ago
• SITE5039 / AdaMixUp
  ☆14Updated 5 years ago
• linzehui / Curriculum-Learning-PaperList-Materials
  Curriculum Learning related papers and materials
  ☆54Updated 3 years ago
• vinayprabhu / Disentanglement_NEURIPS_2019
  On disentangling the menagerie of disentanglement papers
  ☆27Updated 4 years ago
• lucidrains / contrastive-learner
  A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network
  ☆122Updated 3 years ago
• shamangary / Pytorch-Stochastic-Depth-Resnet
  Pytorch Implementation of Deep Networks with Stochastic Depth
  ☆62Updated 5 years ago