Alternatives and similar repositories for iterative-stratification:

Users that are interested in iterative-stratification are comparing it to the libraries listed below

• mgrankin / over9000
  Over9000 optimizer
  ☆426Updated 2 years ago
• psinger / kaggle-landmark-recognition-2020-1st-place
  ☆286Updated last year
• iridiumblue / roc-star
  Loss function which directly targets ROC-AUC
  ☆246Updated 2 years ago
• davidtvs / pytorch-lr-finder
  A learning rate range test implementation in PyTorch
  ☆955Updated last week
• BloodAxe / pytorch-toolbelt
  PyTorch extensions for fast R&D prototyping and Kaggle farming
  ☆1,540Updated 2 months ago
• qubvel / ttach
  Image Test Time Augmentation with PyTorch!
  ☆1,009Updated last year
• titu1994 / keras-one-cycle
  Implementation of One-Cycle Learning rate policy (adapted from Fast.ai lib)
  ☆287Updated 4 years ago
• Qwicen / node
  Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
  ☆486Updated 4 years ago
• TorchDrift / TorchDrift
  Drift Detection for your PyTorch Models
  ☆316Updated 2 years ago
• gpleiss / temperature_scaling
  A simple way to calibrate your neural network.
  ☆1,144Updated 3 years ago
• amirassov / kaggle-imaterialist
  The First Place Solution of Kaggle iMaterialist (Fashion) 2019 at FGVC6
  ☆485Updated 5 years ago
• digantamisra98 / Mish
  Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
  ☆1,297Updated last week
• ufoym / imbalanced-dataset-sampler
  A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
  ☆2,301Updated 3 weeks ago
• Lightning-Universe / lightning-bolts
  Toolbox of models, callbacks, and datasets for AI/ML researchers.
  ☆1,720Updated 3 weeks ago
• Raschka-research-group / coral-pytorch
  CORAL and CORN implementations for ordinal regression with deep neural networks.
  ☆233Updated last year
• vandit15 / Class-balanced-loss-pytorch
  Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
  ☆797Updated last year
• CyberZHG / keras-radam
  RAdam implemented in Keras & TensorFlow
  ☆325Updated 3 years ago
• google-research / augmix
  AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
  ☆988Updated 2 weeks 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
• kakaobrain / fast-autoaugment
  Official Implementation of 'Fast AutoAugment' in PyTorch.
  ☆1,601Updated 3 years ago
• ryancheunggit / Denoise-Transformer-AutoEncoder
  ☆347Updated 4 years ago
• google-research / noisystudent
  Code for Noisy Student Training. https://arxiv.org/abs/1911.04252
  ☆761Updated 4 years ago
• titu1994 / tf-TabNet
  A Tensorflow 2.0 implementation of TabNet.
  ☆242Updated 2 years ago
• aerdem4 / lofo-importance
  Leave One Feature Out Importance
  ☆833Updated 2 months ago
• surmenok / keras_lr_finder
  Plots the change of the loss function of a Keras model when the learning rate is exponentially increasing.
  ☆255Updated 4 years ago
• baal-org / baal
  Bayesian active learning library for research and industrial usecases.
  ☆895Updated 10 months ago
• vivekratnavel / omniboard
  Web-based dashboard for Sacred
  ☆549Updated 2 years ago
• timgaripov / swa
  Stochastic Weight Averaging in PyTorch
  ☆973Updated 3 years ago
• facebookresearch / FixRes
  This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423
  ☆1,043Updated 3 years ago
• bestfitting / kaggle
  ☆295Updated last year