vacuum is the worlds fastest and most versatile OpenAPI, AsyncAPI & JSON Schema linter, docs generator and toolkit. It tears through API specs at light speed. 100% compatible with Spectral rulesets, and OpenAPI 3.0, 3.1 and 3.2
The Bank API is a design reference project suitable to bootstrap development for a compliant and modern API.
our classic
Awesome Spectral Indices in Python.
High performance computational platform in Python for the spectral Galerkin method
Web-based and pixels-based collaborative synthesizer
Awesome Spectral Indices for the Google Earth Engine JavaScript API (Code Editor).
A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
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
C library for audio noise reduction and other spectral effects
List of some useful databases and resources for Computer Graphics
Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow
Python package for reading Bruker OPUS files.
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.
Implementation of Planar Graph Convolutional Networks in TensorFlow
A project focused on the development of generalized spectra-trait models for the prediction of leaf photosynthetic capacity. This includes models focused on the prediction of Vcmax, Jmax and dark respiration as well as leaf nitrogen, leaf mass per area (LMA), leaf water content (LWC).