Model Visualization
Showing 12 of 12 projects
A visualizer for neural network, deep learning, and machine learning models across multiple frameworks.
A suite of web applications for inspecting and understanding TensorFlow runs and graphs.
A comprehensive toolset for converting, visualizing, and managing deep learning models across multiple frameworks like TensorFlow, PyTorch, and Caffe.
A collection of infrastructure and tools for research in neural network interpretability and visualization.
Visual Studio extension and CLI tool for Entity Framework Core reverse engineering, migrations, and model visualization.
A JAX research toolkit for building, editing, and visualizing neural networks as legible, functional pytree data structures.
Generates UML class diagrams for Ruby on Rails models and controllers as SVG or DOT files.
A model-agnostic toolkit for exploring and explaining the behavior of complex machine learning models in R and Python.
A lightweight DDD enhancement framework for forward and reverse business modeling to support complex system architecture evolution.
A Python library for interpretable text classification using the SS3 model, with built-in visualization tools for explainable AI.
A Torch package for creating and visualizing complex neural network architectures using graph-based computation.
A tiny Ember.js app that demonstrates the code needed to get started with Ember Data.
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