Alternatives and similar repositories for torchfunc

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

• Vermeille / Torchelie
  Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.
  ☆110Updated last week
• szymonmaszke / torchdatasets
  PyTorch dataset extended with map, cache etc. (tensorflow.data like)
  ☆332Updated 3 years ago
• universome / loss-patterns
  Loss Patterns of Neural Networks
  ☆86Updated 4 years ago
• msamogh / nonechucks
  Deal with bad samples in your dataset dynamically, use Transforms as Filters, and more!
  ☆378Updated 3 years ago
• AndreasMadsen / python-lrcurve
  Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.
  ☆177Updated 3 years ago
• PetrochukM / HParams
  Configure Python functions explicitly and safely
  ☆128Updated last year
• facebookresearch / enorm
  Equi-normalization of Neural Networks
  ☆116Updated 6 years ago
• szymonmaszke / torchlayers
  Shape and dimension inference (Keras-like) for PyTorch layers and neural networks
  ☆573Updated 3 years ago
• michaelrzhang / lookahead
  Implementation for the Lookahead Optimizer.
  ☆243Updated 3 years ago
• IBM / pytorchpipe
  PyTorchPipe (PTP) is a component-oriented framework for rapid prototyping and training of computational pipelines combining vision and la…
  ☆226Updated 6 years ago
• AlexiaJM / MaximumMarginGANs
  Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin"
  ☆179Updated 5 years ago
• kevinzakka / torchkit
  Research boilerplate for PyTorch.
  ☆149Updated 2 years ago
• podgorskiy / DareBlopy
  Data Reading Blocks for Python
  ☆104Updated 5 years ago
• srush / parallax
  ☆153Updated 5 years ago
• akosiorek / forge
  Basic experiment framework for tensorflow.
  ☆91Updated 4 years ago
• blue-season / pywarm
  A cleaner way to build neural networks for PyTorch.
  ☆184Updated 6 years ago
• leonardblier / alrao
  Implementation of "Learning with Random Learning Rates" in PyTorch.
  ☆102Updated 6 years ago
• ofnote / tsalib
  Tensor Shape Annotation Library (numpy, tensorflow, pytorch, ...)
  ☆266Updated 5 years ago
• IssamLaradji / sls
  Implements stochastic line search
  ☆118Updated 2 years ago
• suriyadeepan / torchtest
  Unit Testing for pytorch, based on mltest
  ☆312Updated 5 years ago
• criteo-research / iclr_analysis
  ☆28Updated 6 years ago
• RuiShu / tensorsketch
  A lightweight library for tensorflow 2.0
  ☆65Updated 6 years ago
• kevinzakka / torchnca
  A PyTorch implementation of Neighbourhood Components Analysis.
  ☆399Updated 5 years ago
• johnhw / differentiable_sorting
  Differentiable bitonic sorting
  ☆141Updated 5 years ago
• pytorch / contrib
  Implementations of ideas from recent papers
  ☆392Updated 5 years ago
• awaelchli / pytorch-lightning-snippets
  A collection of code snippets for my PyTorch Lightning projects
  ☆107Updated 4 years ago
• IssamLaradji / sps
  Official code for the Stochastic Polyak step-size optimizer
  ☆139Updated last year
• juliuskunze / jaxnet
  Concise deep learning for JAX
  ☆183Updated 5 years ago
• mblondel / fenchel-young-losses
  Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
  ☆193Updated 2 years ago
• awslabs / adatune
  Gradient based Hyperparameter Tuning library in PyTorch
  ☆291Updated 5 years ago