sksq96 / pytorch-summary
Model summary in PyTorch similar to `model.summary()` in Keras
☆4,039Updated last year
Alternatives and similar repositories for pytorch-summary:
Users that are interested in pytorch-summary are comparing it to the libraries listed below
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,933Updated this week
- A small package to create visualizations of PyTorch execution graphs☆3,346Updated 4 months ago
- Count the MACs / FLOPs of your PyTorch model.☆4,983Updated 9 months ago
- View model summaries in PyTorch!☆2,771Updated last week
- Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.☆1,827Updated last year
- torch-optimizer -- collection of optimizers for Pytorch☆3,107Updated last year
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,651Updated last week
- Pytorch implementation of convolutional neural network visualization techniques☆8,015Updated 4 months ago
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,645Updated 3 weeks ago
- On the Variance of the Adaptive Learning Rate and Beyond☆2,548Updated 3 years ago
- A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.☆2,301Updated 3 weeks ago
- PyTorch deep learning projects made easy.☆4,917Updated 11 months ago
- Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.☆9,080Updated 3 years ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆8,882Updated last week
- Flops counter for neural networks in pytorch framework☆2,888Updated 3 months ago
- A PyTorch implementation of EfficientNet☆8,097Updated 3 years ago
- A lightweight library for PyTorch training tools and utilities☆1,693Updated this week
- Train AI models efficiently on medical images using any framework☆1,874Updated 10 months ago
- Codebase for Image Classification Research, written in PyTorch.☆2,153Updated last year
- 95.47% on CIFAR10 with PyTorch☆6,165Updated 2 years ago
- Model interpretability and understanding for PyTorch☆5,195Updated this week
- ResNeSt: Split-Attention Networks☆3,254Updated 2 years ago
- Classification with PyTorch.☆1,724Updated 10 months ago
- Code for visualizing the loss landscape of neural nets☆2,972Updated 3 years ago
- Model analyzer in PyTorch☆1,483Updated 2 years ago
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,130Updated 2 weeks ago
- A CV toolkit for my papers.☆2,049Updated 4 months ago
- Siamese and triplet networks with online pair/triplet mining in PyTorch☆3,138Updated 2 years ago
- Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distille…☆4,390Updated 2 years ago
- Simple examples to introduce PyTorch☆4,776Updated 3 years ago