TypeScript library spectral analysis such as PSD and FFT
Window functions for signal processing and spectral analysis
Production-grade Expo native module for audio DSP analysis (FFT, pitch detection, formant extraction, spectral analysis)
Advanced mathematical AI interpretability: Category Theory, Homotopy Type Theory, Spectral Analysis, Causal Inference, Quantum Topology, and Sheaf Cohomology for WebAssembly. Implements functorial retrieval, univalence axioms, Cheeger bounds, do-calculus,
Mathematical AI interpretability plugin providing sheaf cohomology, spectral analysis, causal inference, and quantum topology for coherence validation, consensus verification, and hallucination prevention.
Mathematical AI interpretability plugin providing sheaf cohomology, spectral analysis, causal inference, and quantum topology for coherence validation, consensus verification, and hallucination prevention.
[](https://stoplight.io/api-governance?utm_source=github&utm_medium=spectral&utm_campaign=readme) [ and [@stoplight/json-ref-readers](https://github.com/stoplightio/json-ref-readers).
This project exposes the available formatters from the CLI for users that perform custom validation through Javascript.
- **plugins** - any other Rollup.js plugin, i.e. a minifier. - **target**: - `node` - a preset suitable for the Node.js runtime - `browser` - a preset tailored to Browsers - `runtime` - a preset you want to use if you want to bundle & execute the ru
Probably don't want to beg hackers to come and take your stuff.
Advanced mathematical AI interpretability: Category Theory, Homotopy Type Theory, Spectral Analysis, Causal Inference, Quantum Topology, and Sheaf Cohomology for WebAssembly. Implements functorial retrieval, univalence axioms, Cheeger bounds, do-calculus,
This project serves as a converter between the legacy ruleset format and a new one. It's used internally, albeit it can be used externally too, also in browsers.
Make your HTTP APIs better, faster, stronger, whether they are still being designed (API Design-First) or your organization has flopped various mismatched APIs into production and now you're thinking some consistency would be nice. Using Spectral and Open
Self-host the Spectral font in a neatly bundled NPM package.
Your documentation is only as useful as the quality of the information you've provided, so make sure you're taking full advantage of the features OpenAPI has to offer.
There's no one right way to version, but there's a lot of objectively bad ways you want to avoid.
Utility library for building Prismatic connectors and code-native integrations
A spectral ruleset to enforce the AWS API Gateway Important Notes
Programmatic utility functions for creating Spectral-formatted OpenAPI Rulesets
The world's fastest, most scalable and complete OpenAPI parser
AI coding agent for Aexol with relay-based browser access.
Spectral ruleset for Zapier API Guidelines.
Graph Wiring for embeddings using physical networks wiring. Provides graph analysis, vector search and a energy-distribution stats.
Clustering vectors using Kalman Filter
Rust implementation of the Resonate algorithm for low-latency spectral analysis.
Short-time Fourier transform (STFT) and inverse STFT: streaming and batch spectrograms, a rich window library, mel spectrograms and MFCCs.
Rumale::Clustering provides cluster analysis algorithms, such as K-Means, Gaussian Mixture Model, DBSCAN, and Spectral Clustering, with Rumale interface.
Rumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python. Rumale supports Support Vector Machine, Logistic Regression, Ridge, Lasso, Multi-layer Perceptron, Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest, K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering, Mutidimensional Scaling, t-SNE, Fisher Discriminant Analysis, Neighbourhood Component Analysis, Principal Component Analysis, Non-negative Matrix Factorization, and many other algorithms.
Muze is a Ruby audio analysis and feature extraction library that provides audio loading, spectral analysis, feature extraction, rhythm analysis, and audio effects.
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