Alternatives and similar repositories for spacecutter:

Users that are interested in spacecutter are comparing it to the libraries listed below

• BlackHC / batchbald_redux
  Reusable BatchBALD implementation
  ☆78Updated last year
• ck37 / coral-ordinal
  Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)
  ☆80Updated 3 years ago
• iridiumblue / roc-star
  Loss function which directly targets ROC-AUC
  ☆245Updated 2 years ago
• izmailovpavel / understandingbdl
  ☆240Updated 2 years ago
• borchero / pycave
  Traditional Machine Learning Models for Large-Scale Datasets in PyTorch.
  ☆124Updated 2 weeks ago
• sbadirli / GrowNet
  ☆201Updated 3 years ago
• FelixAbrahamsson / mixmatch-pytorch
  An implementation of MixMatch with PyTorch
  ☆36Updated 4 years ago
• KrisKorrel / sparsemax-pytorch
  Implementation of Sparsemax activation in Pytorch
  ☆158Updated 4 years ago
• oval-group / smooth-topk
  Smooth Loss Functions for Deep Top-k Classification
  ☆252Updated 3 years ago
• SamsungLabs / pytorch-ensembles
  Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020
  ☆235Updated 2 years ago
• mblondel / fenchel-young-losses
  Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
  ☆184Updated last year
• EFS-OpenSource / calibration-framework
  The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …
  ☆354Updated 7 months ago
• ceshine / pytorch-helper-bot
  A high-level PyTorch helper package
  ☆22Updated 4 years ago
• tuantle / regression-losses-pytorch
  Experimenting with different regression losses. Implemented in Pytorch.
  ☆145Updated 6 years ago
• Vermeille / Torchelie
  Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.
  ☆110Updated 3 months ago
• wjmaddox / swa_gaussian
  Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"
  ☆457Updated last year
• deep-spin / entmax
  The entmax mapping and its loss, a family of sparse softmax alternatives.
  ☆428Updated 9 months ago
• TorchUQ / torchuq
  A library for uncertainty quantification based on PyTorch
  ☆122Updated 3 years ago
• MaxHalford / pytorch-resample
  🎲 Iterable dataset resampling in PyTorch
  ☆91Updated 3 years ago
• microsoft / bayesianize
  Bayesianize: A Bayesian neural network wrapper in pytorch
  ☆88Updated 10 months ago
• lucidrains / h-transformer-1d
  Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning
  ☆160Updated last year
• josipd / torch-two-sample
  A PyTorch library for two-sample tests
  ☆238Updated last year
• claying / OTK
  A Pytorch implementation of the optimal transport kernel embedding
  ☆114Updated 4 years ago
• hendrycks / GELUs
  A smoother activation function (undergrad code)
  ☆108Updated 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.
  ☆132Updated 5 years ago
• j-min / Dropouts
  PyTorch Implementations of Dropout Variants
  ☆87Updated 7 years ago
• Alfo5123 / Variational-Sparse-Coding
  Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge
  ☆60Updated last year
• team-approx-bayes / dl-with-bayes
  Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"
  ☆244Updated 5 years ago
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 3 years ago
• chihkuanyeh / Representer_Point_Selection
  code release for Representer point Selection for Explaining Deep Neural Network in NeurIPS 2018
  ☆67Updated 3 years ago