waleedka / hiddenlayer
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
☆1,827Updated last year
Alternatives and similar repositories for hiddenlayer
Users that are interested in hiddenlayer are comparing it to the libraries listed below
Sorting:
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,040Updated last year
- A small package to create visualizations of PyTorch execution graphs☆3,354Updated 4 months ago
- A lightweight library for PyTorch training tools and utilities☆1,695Updated this week
- Train AI models efficiently on medical images using any framework☆1,874Updated 11 months ago
- On the Variance of the Adaptive Learning Rate and Beyond☆2,548Updated 3 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
- Official Implementation of 'Fast AutoAugment' in PyTorch.☆1,600Updated 3 years ago
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,939Updated 2 weeks ago
- A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.☆2,299Updated last month
- Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow☆1,479Updated 2 years ago
- Count the MACs / FLOPs of your PyTorch model.☆4,990Updated 10 months ago
- Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS☆1,570Updated 11 months ago
- pip install antialiased-cnns to improve stability and accuracy☆1,673Updated last year
- Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)☆2,282Updated 2 years ago
- Debug PyTorch code using PySnooper☆798Updated 4 years ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,112Updated last year
- Codebase for Image Classification Research, written in PyTorch.☆2,153Updated last year
- Pytorch implementation of convolutional neural network visualization techniques☆8,020Updated 4 months ago
- Visualization toolkit for neural networks in PyTorch! Demo -->☆741Updated last year
- Model analyzer in PyTorch☆1,482Updated 2 years ago
- PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"☆2,719Updated last year
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,655Updated last week
- A CV toolkit for my papers.☆2,048Updated 4 months ago
- Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.☆9,082Updated 3 years ago
- Siamese and triplet networks with online pair/triplet mining in PyTorch☆3,139Updated 2 years ago
- Source code for "On the Relationship between Self-Attention and Convolutional Layers"☆1,101Updated 2 years ago
- A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.☆902Updated last year
- PyTorch to Keras model convertor☆860Updated 2 years ago
- View model summaries in PyTorch!☆2,786Updated this week
- Some custom dataset examples for PyTorch☆867Updated 5 years ago