NN-SVG
Neural Network Diagrammer
A tool that generates publication-ready diagrams of neural network architectures using parametric methods and popular JavaScript libraries.
Publication-ready NN-architecture schematics.
5k stars
72 watching
695 forks
Language: JavaScript
last commit: about 2 months ago
Linked from 1 awesome list
d3deep-learningdiagramsdrawingmachine-learningneural-networksvgthreejs
aolofsson/awesome-opensource-hardwareRelated projects:
| Repository | Description | Stars |
|---|---|---|
 ashishpatel26/tools-to-design-or-visualize-architecture-of-neural-network | Tools to aid in designing and visualizing neural network architectures | 4,525 |
 harisiqbal88/plotneuralnet | A tool for creating diagrams of neural networks using LaTeX. | 22,380 |
 nvlabs/stylegan2 | Improves upon the state-of-the-art architecture for generating high-quality images using a GAN-based approach | 11,010 |
| nvlabs/stylegan | A deep learning framework implementing a generator architecture for generating images with controllable attributes and disentangled latent factors | 14,178 |
 emilwallner/screenshot-to-code | A deep learning-based system to convert visual mockups into static website code using neural networks. | 16,446 |
 poloclub/cnn-explainer | An interactive visualization system to help non-experts learn about Convolutional Neural Networks (CNNs) by visualizing the learning process. | 8,204 |
 pyg-team/pytorch_geometric | A PyTorch-based library for training and applying Graph Neural Networks to structured data | 21,597 |
 nngen/nngen | Generates hardware-specific accelerator designs for neural networks | 340 |
 tensorspace-team/tensorspace | A JavaScript framework for building interactive and intuitive 3D visualizations of neural networks in browsers. | 5,077 |
 yosinski/deep-visualization-toolbox | A software toolkit for visualizing neural networks and analyzing their structure and behavior | 4,025 |
 lucidrains/dalle2-pytorch | An implementation of DALL-E 2's text-to-image synthesis neural network in PyTorch | 11,184 |
 labmlai/annotated_deep_learning_paper_implementations | Implementations of various deep learning algorithms and techniques with accompanying documentation | 57,177 |
 thunlp/gnnpapers | A curated collection of must-read papers on graph neural networks, providing a comprehensive overview of the field. | 16,122 |
 mnielsen/neural-networks-and-deep-learning | Provides Python code examples for neural networks and deep learning concepts | 16,189 |
 tkarras/progressive_growing_of_gans | A training methodology for generative adversarial networks to improve quality and stability | 6,110 |