A flexible JSON/YAML linter for creating automated style guides, with baked in support for OpenAPI (v3.1, v3.0, and v2.0), Arazzo v1.0, as well as AsyncAPI v2.x.

Spectral warping wavetable synth

Noise reduction in python using spectral gating (speech, bioacoustics, audio, time-domain signals)

Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style linking, Context+ turns a massive codebase into a searchable, hierarchical feature graph.

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

Spectral.js is a paint like color mixing library utilizing the Kubelka-Munk theory.

A toolbox for spectral compressive imaging reconstruction including MST (CVPR 2022), CST (ECCV 2022), DAUHST (NeurIPS 2022), BiSCI (NeurIPS 2023), HDNet (CVPR 2022), MST++ (CVPRW 2022), etc.

A ready-to-use curated list of Spectral Indices for Remote Sensing applications.

GANs with spectral normalization and projection discriminator

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.

The Bank API is a design reference project suitable to bootstrap development for a compliant and modern API.

A flexible framework for solving PDEs with modern spectral methods.

Paper by Miyato et al. https://openreview.net/forum?id=B1QRgziT-

Audio spectral analysis plugin for OBS

Python module for hyperspectral image processing

Audio visualizer plugin for obs-studio

Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting

Spectral segmentation described in Aksoy et al., "Semantic Soft Segmentation", ACM TOG (Proc. SIGGRAPH), 2018

Python re-implementation of the (constrained) spectral clustering algorithms used in Google's speaker diarization papers.

"MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction" (CVPRW 2022) & (Winner of NTIRE 2022 Spectral Recovery Challenge) and a toolbox for spectral reconstruction

Classical algorithms of sound source localization with beamforming, TDOA and high-resolution spectral estimation.

our classic

A jekyll theme for the spectral template by html5up.net (@ajlkn). Demo: http://arkadianriver.github.io/spectral. How to jekyll: http://jekyllrb.com/docs/home/. If you intend to use this theme as a blog site with more than a few pages, have a look at my fork at https://github.com/arkadianriver/arkadianriver.com

Trilingual clustering tutorial with Mermaid diagrams, comparison tables, and Python 3.9+ runnable demos for K-Means++, Fuzzy C-Means, Hierarchical, DBSCAN, OPTICS, and Spectral Clustering.

[IEEE TPAMI] Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning

Book PDF and simulation code for the monograph "Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency" by Emil Björnson, Jakob Hoydis and Luca Sanguinetti, published in Foundations and Trends in Signal Processing, 2017.

Spectral Analysis in Python

A keras based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".

Spectral Navier Stokes (and similar) solvers in Python

A Python module for continuous wavelet spectral analysis. It includes a collection of routines for wavelet transform and statistical analysis via FFT algorithm. In addition, the module also includes cross-wavelet transforms, wavelet coherence tests and sample scripts.