// the find
ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
Tools to Design or Visualize Architecture of Neural Network
A curated list repo that aggregates tools for drawing and visualizing neural network architectures — Netron, PlotNeuralNet, visualkeras, TensorBoard, and a dozen others. No original code; it's a README pointing to external projects with screenshots. Useful as a starting point when you need to pick a visualization tool and don't know what exists.
Covers a genuinely wide range of output formats: browser-based interactive (TensorSpace, Netron), static publication-quality diagrams (PlotNeuralNet in LaTeX, NNSVG), ASCII for quick inspection (keras-sequential-ascii), and activation-level visualization (Quiver). Netron in particular is a standout inclusion — it handles virtually every model format (ONNX, TFLite, PyTorch, CoreML) and is actively maintained. The variety means you can match the tool to the use case rather than forcing one tool to do everything.
Several listed tools are effectively dead: Caffe, Keras.js, Conx, and Neataptic haven't seen meaningful updates in years and some no longer work with current frameworks. The README offers no guidance on which tool to actually use for a given task — it's a flat list with no opinions, so a newcomer still has to evaluate 20+ options themselves. No coverage of PyTorch-native visualization (torchviz, torch.fx graphs) or anything from the post-transformer era like visualizing attention heads. Last meaningful content update appears to be circa 2021 despite the repo showing recent pushes (likely just CI/GitHub Pages automation).