AWS SDK for JavaScript Acm Pca Client for Node.js, Browser and React Native
Principal component analysis
Principal Components Analysis in javascript
Persistent Context Architecture CLI for AI-native development
AWS SDK for JavaScript Pca Connector Scep Client for Node.js, Browser and React Native
AWS SDK for JavaScript Pca Connector Ad Client for Node.js, Browser and React Native
```bash yarn install yarn build # production build via rollup + tsc declarations yarn develop # swc watch build yarn develop:yalc # publish to local yalc, push on src changes ```
Vue area linkage
node.js implementation of James Coglan's "Sylvester" matrix math library.
A UPM package that enables AprilTag detection using Meta’s Passthrough Camera API.
A Bridge for WCAG_2 contrast using APCA (Advanced Perceptual Contrast Algorithm), technology.
MemberJunction: Reusable Angular clustering visualization components with scatter plot, config panel, and clustering service
Principal Components Analysis in javascript
Machine learning tools
A minimalist, browser-friendly data-science library in modern JavaScript (ESM)
MDS and PCA projections in JavaScript
A tool to publish CDK assets to S3 from manifest.json
Ember addon meant to help with using PCA Predict on ember-cli.
A fuse filesystem to browse and manage your OVH Public Cloud Archive
Svelte components for creating simple plots
中华人民共和国行政区数据
3D knowledge graph & embedding maps — build standalone HTML, serve demos, cluster agent sessions (npx CLI)
core functionality for node servo controllers
Collection of functions for matrix math. MathSpace introduces class Space which is a multidimensional structure which in the most trivial case is Matrix of scalars. A matrix of specific form could also be classified as a vector. MathSpace heavily relly on
Principal Component Analysis (PCA) of a feature/sample table — scikit-bio skbio.stats.ordination.pca equivalent (column centering + eigh/SVD decomposition)
Zero-centered truncated PCA of a single-cell matrix — scanpy sc.pp.pca (arpack) equivalent: X_pca scores, PCs loadings, variance, variance_ratio