sksq96 / pytorch-summaryLinks
Model summary in PyTorch similar to `model.summary()` in Keras
☆4,055Updated 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:
- A small package to create visualizations of PyTorch execution graphs☆3,423Updated 8 months ago
- Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.☆1,847Updated last year
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,965Updated last week
- A lightweight library for PyTorch training tools and utilities☆1,709Updated last week
- View model summaries in PyTorch!☆2,849Updated this week
- Count the MACs / FLOPs of your PyTorch model.☆5,046Updated last year
- torch-optimizer -- collection of optimizers for Pytorch☆3,136Updated last year
- Train AI models efficiently on medical images using any framework☆1,873Updated last year
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,698Updated this week
- On the Variance of the Adaptive Learning Rate and Beyond☆2,554Updated 4 years ago
- Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.☆9,098Updated 3 years ago
- A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.☆2,315Updated 2 months ago
- Flops counter for neural networks in pytorch framework☆2,943Updated 3 weeks ago
- Model analyzer in PyTorch☆1,495Updated 2 years ago
- Codebase for Image Classification Research, written in PyTorch.☆2,163Updated last year
- Siamese and triplet networks with online pair/triplet mining in PyTorch☆3,152Updated 2 years ago
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,222Updated 3 weeks ago
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,795Updated last week
- A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.☆907Updated last year
- Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase☆1,203Updated last year
- 95.47% on CIFAR10 with PyTorch☆6,261Updated 2 years ago
- My best practice of training large dataset using PyTorch.☆1,101Updated last year
- Pytorch implementation of convolutional neural network visualization techniques☆8,095Updated 8 months ago
- Collection of common code that's shared among different research projects in FAIR computer vision team.☆2,173Updated 2 weeks ago
- Early stopping for PyTorch☆1,266Updated 10 months ago
- Code for visualizing the loss landscape of neural nets☆3,061Updated 3 years ago
- An optimizer that trains as fast as Adam and as good as SGD.☆2,914Updated 2 years ago
- pip install antialiased-cnns to improve stability and accuracy☆1,679Updated last year
- PyTorch deep learning projects made easy.☆5,013Updated last year
- A PyTorch Implementation of Focal Loss.☆987Updated 5 years ago