sksq96 / pytorch-summaryLinks
Model summary in PyTorch similar to `model.summary()` in Keras
☆4,066Updated 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.☆1,859Updated last year
- A small package to create visualizations of PyTorch execution graphs☆3,482Updated last year
- On the Variance of the Adaptive Learning Rate and Beyond☆2,549Updated 4 years ago
- A lightweight library for PyTorch training tools and utilities☆1,719Updated 2 weeks ago
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,989Updated 2 months ago
- View model summaries in PyTorch!☆2,891Updated 3 weeks ago
- Count the MACs / FLOPs of your PyTorch model.☆5,074Updated last year
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,723Updated this week
- Train AI models efficiently on medical images using any framework☆1,876Updated last year
- Flops counter for neural networks in pytorch framework☆2,962Updated 4 months ago
- Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.☆9,115Updated 3 years ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,159Updated last year
- Codebase for Image Classification Research, written in PyTorch.☆2,167Updated last year
- Model analyzer in PyTorch☆1,503Updated 2 years ago
- Code for visualizing the loss landscape of neural nets☆3,127Updated 3 years ago
- A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.☆2,326Updated last week
- Collection of common code that's shared among different research projects in FAIR computer vision team.☆2,213Updated 4 months ago
- Pytorch implementation of convolutional neural network visualization techniques☆8,185Updated last year
- YACS -- Yet Another Configuration System☆1,330Updated 3 years ago
- My best practice of training large dataset using PyTorch.☆1,105Updated last year
- An optimizer that trains as fast as Adam and as good as SGD.☆2,914Updated 2 years ago
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,890Updated 3 weeks ago
- A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.☆912Updated 2 years ago
- A PyTorch implementation of EfficientNet☆8,209Updated 3 years ago
- Siamese and triplet networks with online pair/triplet mining in PyTorch☆3,165Updated 2 years ago
- Sandbox for training deep learning networks☆3,020Updated last year
- A CV toolkit for my papers.☆2,047Updated last year
- Early stopping for PyTorch☆1,270Updated last year
- Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase☆1,208Updated 2 years ago
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,292Updated 4 months ago