Alternatives and similar repositories for early-stopping-pytorch

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

• clcarwin / focal_loss_pytorch
  A PyTorch Implementation of Focal Loss.
  ☆981Updated 5 years ago
• ufoym / imbalanced-dataset-sampler
  A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
  ☆2,300Updated last month
• sksq96 / pytorch-summary
  Model summary in PyTorch similar to `model.summary()` in Keras
  ☆4,040Updated last year
• davidtvs / pytorch-lr-finder
  A learning rate range test implementation in PyTorch
  ☆958Updated 2 weeks ago
• ildoonet / pytorch-gradual-warmup-lr
  Gradually-Warmup Learning Rate Scheduler for PyTorch
  ☆989Updated 7 months ago
• YyzHarry / imbalanced-regression
  [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
  ☆870Updated 3 years ago
• sooftware / attentions
  PyTorch implementation of some attentions for Deep Learning Researchers.
  ☆532Updated 3 years ago
• jettify / pytorch-optimizer
  torch-optimizer -- collection of optimizers for Pytorch
  ☆3,109Updated last year
• CoinCheung / pytorch-loss
  label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
  ☆2,241Updated 6 months ago
• szagoruyko / pytorchviz
  A small package to create visualizations of PyTorch execution graphs
  ☆3,352Updated 4 months ago
• nitrain / nitrain
  Train AI models efficiently on medical images using any framework
  ☆1,874Updated 11 months ago
• lessw2020 / Ranger-Deep-Learning-Optimizer
  Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase
  ☆1,201Updated last year
• moemen95 / Pytorch-Project-Template
  A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.
  ☆902Updated last year
• pytorch / captum
  Model interpretability and understanding for PyTorch
  ☆5,209Updated last week
• trent-b / iterative-stratification
  scikit-learn cross validators for iterative stratification of multilabel data
  ☆864Updated 7 months ago
• adambielski / siamese-triplet
  Siamese and triplet networks with online pair/triplet mining in PyTorch
  ☆3,139Updated 2 years ago
• facebookresearch / mixup-cifar10
  mixup: Beyond Empirical Risk Minimization
  ☆1,178Updated 3 years ago
• Lightning-AI / deep-learning-project-template
  Pytorch Lightning code guideline for conferences
  ☆1,264Updated last year
• Lightning-Universe / lightning-bolts
  Toolbox of models, callbacks, and datasets for AI/ML researchers.
  ☆1,726Updated last week
• HobbitLong / PyContrast
  PyTorch implementation of Contrastive Learning methods
  ☆1,979Updated last year
• waleedka / hiddenlayer
  Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
  ☆1,827Updated last year
• IgorSusmelj / pytorch-styleguide
  An unofficial styleguide and best practices summary for PyTorch
  ☆1,979Updated 3 years ago
• yaringal / multi-task-learning-example
  A multi-task learning example for the paper https://arxiv.org/abs/1705.07115
  ☆858Updated 4 years ago
• HobbitLong / SupContrast
  PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
  ☆3,274Updated last year
• TylerYep / torchinfo
  View model summaries in PyTorch!
  ☆2,786Updated this week
• vandit15 / Class-balanced-loss-pytorch
  Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
  ☆797Updated last year
• victoresque / pytorch-template
  PyTorch deep learning projects made easy.
  ☆4,921Updated 11 months ago
• gpleiss / temperature_scaling
  A simple way to calibrate your neural network.
  ☆1,145Updated 3 years ago
• Lightning-AI / torchmetrics
  Machine learning metrics for distributed, scalable PyTorch applications.
  ☆2,267Updated this week
• ptrblck / pytorch_misc
  Code snippets created for the PyTorch discussion board
  ☆561Updated 4 years ago