Alternatives and similar repositories for eagerpy

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

• google / objax
  ☆775Updated last year
• szymonmaszke / torchlayers
  Shape and dimension inference (Keras-like) for PyTorch layers and neural networks
  ☆573Updated 3 years ago
• f-dangel / cockpit
  Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
  ☆486Updated 3 years ago
• poets-ai / elegy
  A High Level API for Deep Learning in JAX
  ☆477Updated 3 years ago
• parrt / tensor-sensor
  The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflo…
  ☆812Updated 3 years ago
• pytorch / functorch
  functorch is JAX-like composable function transforms for PyTorch.
  ☆1,437Updated 4 months ago
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆602Updated last month
• GRAAL-Research / poutyne
  A simplified framework and utilities for PyTorch
  ☆577Updated 8 months ago
• pytorch / nestedtensor
  [Prototype] Tools for the concurrent manipulation of variably sized Tensors.
  ☆250Updated 3 years ago
• Santosh-Gupta / SpeedTorch
  Library for faster pinned CPU <-> GPU transfer in Pytorch
  ☆683Updated 5 years ago
• huggingface / pytorch_block_sparse
  Fast Block Sparse Matrices for Pytorch
  ☆550Updated 4 years ago
• juliuskunze / jaxnet
  Concise deep learning for JAX
  ☆183Updated 5 years ago
• szymonmaszke / torchdatasets
  PyTorch dataset extended with map, cache etc. (tensorflow.data like)
  ☆332Updated 3 years ago
• vivekratnavel / omniboard
  Web-based dashboard for Sacred
  ☆548Updated 2 years ago
• dgasmith / opt_einsum
  ⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.
  ☆964Updated 6 months ago
• NVIDIA / framework-reproducibility
  Providing reproducibility in deep learning frameworks
  ☆434Updated last year
• google-research / robustness_metrics
  ☆472Updated 3 months ago
• getkeops / keops
  KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows
  ☆1,153Updated 2 months ago
• patrick-kidger / torchtyping
  Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
  ☆1,472Updated 8 months ago
• google-research / fast-soft-sort
  Fast Differentiable Sorting and Ranking
  ☆614Updated last year
• google-deepmind / dm_pix
  PIX is an image processing library in JAX, for JAX.
  ☆431Updated 10 months ago
• suriyadeepan / torchtest
  Unit Testing for pytorch, based on mltest
  ☆312Updated 5 years ago
• juntang-zhuang / Adabelief-Optimizer
  Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"
  ☆1,067Updated last year
• kevinzakka / torchnca
  A PyTorch implementation of Neighbourhood Components Analysis.
  ☆400Updated 5 years ago
• szymonmaszke / torchfunc
  PyTorch functions and utilities to make your life easier
  ☆195Updated 4 years ago
• SirRob1997 / Crowded-Valley---Results
  This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"
  ☆184Updated 4 years ago
• facebookresearch / open_lth
  A repository in preparation for open-sourcing lottery ticket hypothesis code.
  ☆634Updated 3 years ago
• ray-project / ray_lightning
  Pytorch Lightning Distributed Accelerators using Ray
  ☆215Updated 2 years ago
• google / ml_collections
  ML Collections is a library of Python Collections designed for ML use cases.
  ☆1,004Updated 2 months ago
• teddykoker / torchsort
  Fast, differentiable sorting and ranking in PyTorch
  ☆847Updated 7 months ago