spectral

our classic

Spectral Analysis in Python

Web-based and pixels-based collaborative synthesizer

vacuum is the worlds fastest OpenAPI 3, OpenAPI 2 / Swagger linter and quality analysis tool. Built in go, it tears through API specs faster than you can think. vacuum is compatible with Spectral rulesets and generates compatible reports.

A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".

High performance computational platform in Python for the spectral Galerkin method

Awesome Spectral Indices for the Google Earth Engine JavaScript API (Code Editor).

C Pixels-based graphical audio synthesizer implemented as a WebSocket server

Vulkan and rust experiments, including a spectral path tracer using Vulkan ray tracing extensions

Awesome Spectral Indices in Python.

List of some useful databases and resources for Computer Graphics

Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow

spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoencoders. Variations include VanillaGCN,ChebyshevGCN and Spline GCN along with SDNe based Graph Autoencoder.

C library for audio noise reduction and other spectral effects

Python package for reading Bruker OPUS files.

Implementation of Planar Graph Convolutional Networks in TensorFlow

The Awesome Spectral Indices Streamlit App.

A simple program implementing the numerical renormalization group

Schwarz API rule definitions for the Spectral API linter

A spectral freeze plugin using framelib and iPlug2