sksq96 / pytorch-summaryLinks
Model summary in PyTorch similar to `model.summary()` in Keras
☆4,049Updated last year
Alternatives and similar repositories for pytorch-summary
Users that are interested in pytorch-summary are comparing it to the libraries listed below
Sorting:
- Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.☆1,838Updated last year
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,952Updated 3 weeks ago
- A small package to create visualizations of PyTorch execution graphs☆3,390Updated 6 months ago
- View model summaries in PyTorch!☆2,821Updated this week
- Count the MACs / FLOPs of your PyTorch model.☆5,016Updated last year
- A lightweight library for PyTorch training tools and utilities☆1,700Updated this week
- On the Variance of the Adaptive Learning Rate and Beyond☆2,551Updated 3 years ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,124Updated last year
- Flops counter for neural networks in pytorch framework☆2,909Updated 5 months ago
- A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.☆2,307Updated this week
- Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.☆9,098Updated 3 years ago
- Train AI models efficiently on medical images using any framework☆1,871Updated last year
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,716Updated this week
- Collection of common code that's shared among different research projects in FAIR computer vision team.☆2,148Updated last week
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,674Updated 3 weeks ago
- Model analyzer in PyTorch☆1,486Updated 2 years ago
- Codebase for Image Classification Research, written in PyTorch.☆2,156Updated last year
- Classification with PyTorch.☆1,733Updated last year
- pip install antialiased-cnns to improve stability and accuracy☆1,678Updated last year
- My best practice of training large dataset using PyTorch.☆1,099Updated last year
- Pytorch implementation of convolutional neural network visualization techniques☆8,041Updated 6 months ago
- Sandbox for training deep learning networks☆3,011Updated 10 months ago
- A CV toolkit for my papers.☆2,050Updated 6 months ago
- Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distille…☆4,398Updated 2 years ago
- A PyTorch implementation of EfficientNet☆8,132Updated 3 years ago
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,180Updated 2 months ago
- Siamese and triplet networks with online pair/triplet mining in PyTorch☆3,143Updated 2 years ago
- 95.47% on CIFAR10 with PyTorch☆6,230Updated 2 years ago
- PyTorch deep learning projects made easy.☆4,968Updated last year
- A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.☆905Updated last year