FANN (Fast Artificial Neural Network Library) bindings for Node.js
FANN Fast Artificial Neural Network Node.JS Bindings
pure javascript version of fann (fast artificial neural net library) with zero npm-dependencies (compiled from emscripten)
FANN (Fast Artificial Neural Network) bindings for Node.js that use MongoDB to store information
A Node.js wrapper for FANN (Fast Artificial Neural Network Library) that uses MongoDB to store the models
borna mehr fann co. make asp.net project
Machine Learning library for Node.js
A command line minifier that morphs code to provide additional (unsafe) minification before standard minification.
Create a coc extension quickly 🚀
High-performance CUDA to WebAssembly/WebGPU transpiler with Rust safety - Run GPU kernels in browsers and Node.js
High-performance CUDA to WebAssembly/WebGPU transpiler with Rust safety - Run GPU kernels in browsers and Node.js
Supervised machine learning tools for nodejs
FlexML.js: Flexible Machine Learning for node.js
Wrapper for the Fast Artificial Neural Networks library
Fast neural network primitives for Lattice - tiny models, fast inference
A pure Rust implementation of the Fast Artificial Neural Network (FANN) library
Vortex physics-inspired & ground-up redesign of FANN (credit to Steffen Nissen). Its original implementation is described in Nissen's 2003 report Implementation of a Fast Artificial Neural Network Library (FANN).
Low-level bindings to the Fast Artificial Neural Networks library
High-performance framework for benchmarking temporal prediction algorithms inspired by Time-R1
Core foundation for neuro-divergent neural forecasting library
Optimized micro-expert neural architecture for Kimi-K2 WASM conversion with 5-10x performance improvements
Comprehensive training infrastructure for neural forecasting models
CUDA to Rust transpiler with WebGPU/WASM support
A pure Rust implementation of the Fast Artificial Neural Network (FANN) library
Neural forecasting models implemented using ruv-FANN for time series forecasting
Bindings to use FANN from within ruby/rails environment
Bindings to use FANN from within ruby/rails environment
Ruby bindings for the Fantastico API
A simple set of base views to help develop Backbone applications.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.