HarisIqbal88/PlotNeuralNet

Pandoc is a universal document converter that translates content between a wide range of markup and binary formats. It functions by parsing input documents into a unified intermediate abstract syntax tree, which serves as the foundation for consistent manipulation and transformation across diverse output types. The system is distinguished by its modular reader-writer pipeline, which decouples input parsing from output generation to allow for granular control over document structure. Users can programmatically manipulate this intermediate tree through a robust filter system, supporting both ex

Publication-ready NN-architecture schematics.

cnn-explainer is an interactive web application and educational sandbox designed for visualizing the internal operations and layers of convolutional neural networks. It functions as a tool for understanding how these networks process image data through real-time graphics and interactive visualizations. The project includes a browser-based environment for training small convolutional neural networks on specific image classes. It also provides a model converter that transforms trained neural network files from backend framework formats into web-compatible versions for browser loading. The appl

Typst is a programmable, markup-based typesetting engine designed for professional document creation. It functions as a scriptable publishing toolchain that transforms plain text and code into complex, paginated outputs. By utilizing a high-performance compiler, the system automates document assembly, mathematical rendering, and dynamic content generation, providing a unified workflow for academic and technical authoring. The engine distinguishes itself through a declarative layout framework that uses cascading rules to manage document structure and visual styling. Unlike traditional systems,