Alternatives and similar repositories for pytorch-summary

Users that are interested in pytorch-summary are comparing it to the libraries listed below

• szagoruyko / pytorchviz
  A small package to create visualizations of PyTorch execution graphs
  ☆3,406Updated 7 months ago
• waleedka / hiddenlayer
  Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
  ☆1,841Updated last year
• lanpa / tensorboardX
  tensorboard for pytorch (and chainer, mxnet, numpy, ...)
  ☆7,964Updated 2 months ago
• Lyken17 / pytorch-OpCounter
  Count the MACs / FLOPs of your PyTorch model.
  ☆5,034Updated last year
• pytorch / tnt
  A lightweight library for PyTorch training tools and utilities
  ☆1,706Updated this week
• Cadene / pretrained-models.pytorch
  Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
  ☆9,096Updated 3 years ago
• utkuozbulak / pytorch-cnn-visualizations
  Pytorch implementation of convolutional neural network visualization techniques
  ☆8,076Updated 7 months ago
• jettify / pytorch-optimizer
  torch-optimizer -- collection of optimizers for Pytorch
  ☆3,135Updated last year
• lukemelas / EfficientNet-PyTorch
  A PyTorch implementation of EfficientNet
  ☆8,147Updated 3 years ago
• sovrasov / flops-counter.pytorch
  Flops counter for neural networks in pytorch framework
  ☆2,928Updated 7 months ago
• ufoym / imbalanced-dataset-sampler
  A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
  ☆2,310Updated last month
• TylerYep / torchinfo
  View model summaries in PyTorch!
  ☆2,835Updated this week
• LiyuanLucasLiu / RAdam
  On the Variance of the Adaptive Learning Rate and Beyond
  ☆2,554Updated 4 years ago
• Swall0w / torchstat
  Model analyzer in PyTorch
  ☆1,490Updated 2 years ago
• nitrain / nitrain
  Train AI models efficiently on medical images using any framework
  ☆1,872Updated last year
• NVIDIA / apex
  A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
  ☆8,774Updated this week
• pytorch / ignite
  High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
  ☆4,688Updated last month
• facebookresearch / pycls
  Codebase for Image Classification Research, written in PyTorch.
  ☆2,161Updated last year
• victoresque / pytorch-template
  PyTorch deep learning projects made easy.
  ☆4,997Updated last year
• kuangliu / pytorch-cifar
  95.47% on CIFAR10 with PyTorch
  ☆6,250Updated 2 years ago
• bearpaw / pytorch-classification
  Classification with PyTorch.
  ☆1,736Updated last year
• facebookresearch / fvcore
  Collection of common code that's shared among different research projects in FAIR computer vision team.
  ☆2,161Updated last month
• Lyken17 / Efficient-PyTorch
  My best practice of training large dataset using PyTorch.
  ☆1,100Updated last year
• KevinMusgrave / pytorch-metric-learning
  The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
  ☆6,207Updated this week
• adambielski / siamese-triplet
  Siamese and triplet networks with online pair/triplet mining in PyTorch
  ☆3,150Updated 2 years ago
• rbgirshick / yacs
  YACS -- Yet Another Configuration System
  ☆1,320Updated 3 years ago
• rwightman / gen-efficientnet-pytorch
  Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS
  ☆1,579Updated last year
• tomgoldstein / loss-landscape
  Code for visualizing the loss landscape of neural nets
  ☆3,048Updated 3 years ago
• IgorSusmelj / pytorch-styleguide
  An unofficial styleguide and best practices summary for PyTorch
  ☆1,995Updated 3 years ago
• Luolc / AdaBound
  An optimizer that trains as fast as Adam and as good as SGD.
  ☆2,914Updated 2 years ago