WebAssembly bindings for GhostFlow ML framework
Matrix manipulation and computation library
Various method to process spectra
Get the minimum value in an array
Get the maximum value in an array
JavaScript implementation of the XORSHIFT-ADD (XSadd) pseudo random number generator
Rescale an array into a range
Generates markdown API documentation from jsdoc annotated source code
Compute the euclidean distance between two vectors
Web Assembly streaming Opus decoder with Machine Learning enhancements
Choose randomly from a selection of elements
K-Means clustering
Find the nearest point to a sample point
Get the average value in an array
Get the average value in an array
Distance and similarity functions to compare vectors
JSON Schema and TypeScript types of markuplint configure JSON
Multivariate linear regression
Curve fitting method in javascript
Autogenerate READMEs tables and OpenAPI schemas for Helm Charts
The markuplint AST types.
The core module of markuplint
Get the median value in an array
Regression algorithms
Classical ML algorithms for GhostFlow
Complete machine learning framework in Rust - tensors, neural networks, 85+ ML algorithms, GPU acceleration, WASM, FFI, model serving, compiler optimizations, distributed training, and 8 hardware accelerators - all included by default
Automatic differentiation for GhostFlow ML framework
Core tensor operations for GhostFlow ML framework - optimized for maximum performance
CUDA backend for GhostFlow ML framework
Data loading utilities for GhostFlow ML framework
Neural network layers for GhostFlow ML framework
Optimizers for GhostFlow ML framework