Alternatives and similar repositories for torchfunc:

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

• szymonmaszke / torchdatasets
  PyTorch dataset extended with map, cache etc. (tensorflow.data like)
  ☆329Updated 2 years ago
• szymonmaszke / torchlayers
  Shape and dimension inference (Keras-like) for PyTorch layers and neural networks
  ☆571Updated 2 years ago
• pytorch / contrib
  Implementations of ideas from recent papers
  ☆393Updated 4 years ago
• Vermeille / Torchelie
  Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.
  ☆110Updated 4 months ago
• facebookresearch / enorm
  Equi-normalization of Neural Networks
  ☆115Updated 5 years ago
• PetrochukM / HParams
  Configure Python functions explicitly and safely
  ☆126Updated 5 months ago
• kevinzakka / torchkit
  Research boilerplate for PyTorch.
  ☆149Updated last year
• msamogh / nonechucks
  Deal with bad samples in your dataset dynamically, use Transforms as Filters, and more!
  ☆377Updated 2 years ago
• universome / loss-patterns
  Loss Patterns of Neural Networks
  ☆84Updated 3 years ago
• srush / parallax
  ☆153Updated 4 years ago
• akosiorek / forge
  Basic experiment framework for tensorflow.
  ☆92Updated 3 years ago
• shrubb / box-convolutions
  PyTorch code for the "Deep Neural Networks with Box Convolutions" paper
  ☆510Updated 5 years ago
• michaelrzhang / lookahead
  Implementation for the Lookahead Optimizer.
  ☆241Updated 3 years ago
• ofnote / tsalib
  Tensor Shape Annotation Library (numpy, tensorflow, pytorch, ...)
  ☆266Updated 4 years ago
• AlexiaJM / MaximumMarginGANs
  Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin"
  ☆178Updated 5 years ago
• inferno-pytorch / inferno
  A utility library around PyTorch
  ☆244Updated 2 years ago
• blue-season / pywarm
  A cleaner way to build neural networks for PyTorch.
  ☆184Updated 5 years ago
• mblondel / fenchel-young-losses
  Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
  ☆185Updated last year
• IBM / pytorchpipe
  PyTorchPipe (PTP) is a component-oriented framework for rapid prototyping and training of computational pipelines combining vision and la…
  ☆226Updated 5 years ago
• achaiah / pywick
  High-level batteries-included neural network training library for Pytorch
  ☆400Updated 3 years ago
• juliuskunze / jaxnet
  Concise deep learning for JAX
  ☆183Updated 4 years ago
• leonardblier / alrao
  Implementation of "Learning with Random Learning Rates" in PyTorch.
  ☆102Updated 5 years ago
• awslabs / adatune
  Gradient based Hyperparameter Tuning library in PyTorch
  ☆289Updated 4 years ago
• podgorskiy / DareBlopy
  Data Reading Blocks for Python
  ☆104Updated 4 years ago
• GRAAL-Research / poutyne
  A simplified framework and utilities for PyTorch
  ☆573Updated 5 months ago
• toodef / neural-pipeline
  Neural networks training pipeline based on PyTorch
  ☆311Updated 4 years ago
• jacobkimmel / pytorch_modelsize
  Estimates the size of a PyTorch model in memory
  ☆357Updated 4 years ago
• dalmia / siren
  PyTorch implementation of Sinusodial Representation networks (SIREN)
  ☆264Updated 2 years ago
• suriyadeepan / torchtest
  Unit Testing for pytorch, based on mltest
  ☆310Updated 4 years ago
• mrahtz / tbplot
  Plot TensorBoard graphs fast
  ☆51Updated 3 years ago