Alternatives and similar repositories for einops

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

• google / flax
  Flax is a neural network library for JAX that is designed for flexibility.
  ☆6,647Updated last week
• pytorch / captum
  Model interpretability and understanding for PyTorch
  ☆5,290Updated this week
• NVIDIA / apex
  A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
  ☆8,694Updated last week
• jettify / pytorch-optimizer
  torch-optimizer -- collection of optimizers for Pytorch
  ☆3,120Updated last year
• pytorch / ignite
  High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
  ☆4,673Updated 2 weeks ago
• huggingface / accelerate
  🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (i…
  ☆8,875Updated last week
• Lightning-AI / torchmetrics
  Machine learning metrics for distributed, scalable PyTorch applications.
  ☆2,297Updated this week
• Lightning-AI / pytorch-lightning
  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
  ☆29,698Updated this week
• TylerYep / torchinfo
  View model summaries in PyTorch!
  ☆2,815Updated last week
• libffcv / ffcv
  FFCV: Fast Forward Computer Vision (and other ML workloads!)
  ☆2,943Updated last year
• kornia / kornia
  🐍 Geometric Computer Vision Library for Spatial AI
  ☆10,561Updated this week
• lucidrains / x-transformers
  A concise but complete full-attention transformer with a set of promising experimental features from various papers
  ☆5,413Updated last week
• szagoruyko / pytorchviz
  A small package to create visualizations of PyTorch execution graphs
  ☆3,387Updated 6 months ago
• KevinMusgrave / pytorch-metric-learning
  The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
  ☆6,176Updated 2 months ago
• webdataset / webdataset
  A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
  ☆2,675Updated 2 weeks ago
• sksq96 / pytorch-summary
  Model summary in PyTorch similar to `model.summary()` in Keras
  ☆4,049Updated last year
• facebookresearch / vissl
  VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
  ☆3,284Updated last year
• google-research / vision_transformer
  ☆11,515Updated 3 months ago
• huggingface / pytorch-image-models
  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights --…
  ☆34,614Updated this week
• lanpa / tensorboardX
  tensorboard for pytorch (and chainer, mxnet, numpy, ...)
  ☆7,951Updated 2 weeks ago
• facebookresearch / fairscale
  PyTorch extensions for high performance and large scale training.
  ☆3,336Updated 2 months ago
• google-deepmind / dm-haiku
  JAX-based neural network library
  ☆3,057Updated this week
• facebookresearch / moco
  PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
  ☆5,006Updated last week
• optuna / optuna
  A hyperparameter optimization framework
  ☆12,197Updated this week
• facebookresearch / ConvNeXt
  Code release for ConvNeXt model
  ☆6,043Updated 2 years ago
• pyg-team / pytorch_geometric
  Graph Neural Network Library for PyTorch
  ☆22,540Updated this week
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆6,063Updated last week
• Lightning-Universe / lightning-bolts
  Toolbox of models, callbacks, and datasets for AI/ML researchers.
  ☆1,730Updated last month
• NVIDIA / DALI
  A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep lear…
  ☆5,444Updated this week
• triton-lang / triton
  Development repository for the Triton language and compiler
  ☆15,989Updated this week