convolution

An interactive player for CNN convolution

Aiding the visually impaired through real time augmented reality, AI object detection, WebGL shaders effects such as edge detection, and colour adjustments.

Interactive course material for an undergraduate signals and systems course: step-by-step derivations, laboratories, worked problems and runnable Python code, with printable lecture notes and an independent numerical check of every stated result.

An interactive experiment exploring the boundary between interference and fractal patterns in an iterative convolution system.

Convolution calculator for CNNs

Convolution Interactive Visualization is a tool for convolution of two signals. It lets the user visualize and calculate how the convolution of two functions is determined.

This project explores different methods to alter and process images.

A bot that can tell you what is in front of your computer's camera.

Interactive demonstration of single sample per pixel convolution

An interactive, web-based visualization tool to explore Convolutional Neural Networks (CNNs). Draw inputs, adjust kernels, and inspect the math behind feature extraction in real-time.

Javascript torch layer calculator. Layer sizes after convolution, pooling, etc.

Interactive web-based tool to visualize and explore the LeNet neural network architecture. Built with JavaScript, HTML, and Python to provide real-time insights into layer operations, feature maps, and data flow through the network. Perfect for learning deep learning concepts and understanding how convolutional neural networks work.

Interactive browser-based UV-Vis spectrum analysis and export from ORCA output files.

Simple direct and extendable convolution library.

Visualization tool for TensorFlow's tf.nn.conv2d operation

An educational and research tool for quantifying the relationship between action potential firing and calcium signals

Interactive web app for plotting IR spectra from ORCA & GAUSSIAN output files

A website to play around with image convolutions.

How does image recognition work? An interactive, open-source explainer. Glassbox No. 078.

Zero-dependency JavaScript neural network framework: autograd, tensors, convolution, training loops, and finite-difference gradient checks. 零依赖神经网络框架。