lanpa / tensorboardXLinks
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
☆7,954Updated last month
Alternatives and similar repositories for tensorboardX
Users that are interested in tensorboardX are comparing it to the libraries listed below
Sorting:
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,049Updated last year
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,716Updated this week
- A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.☆10,167Updated last year
- A small package to create visualizations of PyTorch execution graphs☆3,394Updated 6 months ago
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,676Updated last week
- Simple examples to introduce PyTorch☆4,802Updated 3 years ago
- Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.☆9,100Updated 3 years ago
- Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.☆1,838Updated last year
- A lightweight library for PyTorch training tools and utilities☆1,700Updated last week
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆23,212Updated this week
- Train AI models efficiently on medical images using any framework☆1,871Updated last year
- An optimizer that trains as fast as Adam and as good as SGD.☆2,916Updated last year
- Count the MACs / FLOPs of your PyTorch model.☆5,016Updated last year
- PyTorch tutorials.☆8,667Updated this week
- Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distille…☆4,397Updated 2 years ago
- A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility☆6,304Updated last year
- A technical report on convolution arithmetic in the context of deep learning☆14,396Updated 2 years ago
- A PyTorch implementation of EfficientNet☆8,132Updated 3 years ago
- Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.☆9,371Updated 2 years ago
- Datasets, Transforms and Models specific to Computer Vision☆16,987Updated this week
- pytorch tutorial for beginners☆3,028Updated 3 years ago
- PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"☆2,722Updated 2 years ago
- MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Co…☆5,809Updated this week
- Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained☆4,546Updated 4 years ago
- Differentiable architecture search for convolutional and recurrent networks☆3,965Updated 4 years ago
- Pytorch implementation of convolutional neural network visualization techniques☆8,043Updated 6 months ago
- Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeN…☆2,679Updated 2 years ago
- Gluon CV Toolkit☆5,893Updated 7 months ago
- A PyTorch implementation of the Transformer model in "Attention is All You Need".☆9,283Updated last year
- On the Variance of the Adaptive Learning Rate and Beyond☆2,551Updated 3 years ago