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.

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Spectral Analysis in Python

Web-based and pixels-based collaborative synthesizer

High performance computational platform in Python for the spectral Galerkin method

Awesome Spectral Indices in Python.

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

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

List of some useful databases and resources for Computer Graphics

Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow

C library for audio noise reduction and other spectral effects

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.

Python package for reading Bruker OPUS files.

Spectral Micro BLDC controller

Implementation of Planar Graph Convolutional Networks in TensorFlow

A spectral freeze plugin using framelib and iPlug2

Direct Numerical Simulation of an incompressible turbulent channel flow with two dimensional parallelization

Collecting examples of Spectral rulesets and functions in the wild