Neural Network
An evented feedforward neural network with backpropogation
Graph Neural Network capabilities for Ruvector - Node.js bindings
Self-Optimizing Neural Architecture (SONA) for Claude Flow — adaptive learning, trajectory tracking, pattern reuse, 7 RL algorithms (PPO/A2C/DQN/Q-Learning/SARSA/Decision Transformer/Curiosity), Flash Attention, MoE routing, LoRA, EWC++ for continual lear
Neural networks in JavaScript
architecture-free neural network library
A tiny neural network for natural language detection.
A nodejs module for local and remote Inter Process Communication (IPC), Neural Networking, and able to facilitate machine learning.
High-performance neural trading system with complete NAPI API (178 functions), advanced CLI with interactive mode, GPU acceleration, real-time execution, multi-agent swarm coordination, neural networks, risk management, sports betting, syndicate collabora
A nodejs module for local and remote Inter Process Communication (IPC), Neural Networking, and able to facilitate machine learning.
Graph Neural Network capabilities for Ruvector - linux-x64-gnu platform
High-performance neural network swarm orchestration in WebAssembly
Neural Amp Modeler WebAssembly React Component
A retro looking react component for the neural-chatbot.
Graph Neural Network capabilities for Ruvector - linux-x64-musl platform
Ultra-low latency neural trading engine with Rust + Node.js bindings
Neural router for AI agent orchestration - FastGRNN-based intelligent routing with circuit breaker, uncertainty estimation, and hot-reload
Conformal prediction for neural trading with guaranteed intervals
Neural Trader neural network training and prediction
Neural search engine with embedding-based scoring and learning-based pruning
Neural module - SONA learning integration, neural modes
Architecture-free neural network library with genetic algorithm implementations
Complete WASM toolkit for edge AI: vector search, graph DB, neural networks, DAG workflows, SQL/SPARQL/Cypher, and ONNX inference - all running in browser
feedforward neural networks library
Genetic Algorithms in Rust
Neuro-Symbolic Reasoning (NSR) framework for hybrid AI systems combining neural networks with symbolic logic
Conformal prediction SDK/CLI for neural trading with guaranteed intervals
Neural network integration for Neural Trader - LSTM, transformers, and deep learning models with Candle
Ultra-fast neural network inference with sub-microsecond latency
Neural Quantum Error Decoder (NQED) - GNN-based decoder with O(d^2) Mamba state-space architecture
Neural network layers, models and training APIs for TenfloweRS
rUv Neural — CLI tool for brain topology analysis, simulation, and visualization
Neural network building blocks module for SciRS2 (scirs2-neural) - Minimal Version
A blazingly fast MCP server for code intelligence - enumerates repos, data structures, algorithms, and returns relevant code context
Remote agent for Neural Conductor - executes commands on behalf of the orchestration server
rUv Neural — Core types, traits, and error types for brain topology analysis
A simple feed-forward Neural Network gem
Rumale::NeuralNetwork provides classifiers and regression algorithms based on multi-layer perceptron, radial basis function network, and random vector functional link network in the Rumale interface.
Deep Learning, the Ruby way
Neuronal Networks algoritms
Neural Network
neural network ruby implementaiton
A simple neural network implementation in Ruby.
Brain rhythm coordination for LegionIO — theta, alpha, beta, gamma oscillations synchronizing distributed cognitive processing
Brainy is an Artificial Neural Network (ANN) using the Backpropagation algorithm.
Google Speech-to-Text enables developers to convert audio to text by applying powerful neural network models in an easy-to-use API. The API recognizes more than 120 languages and variants to support your global user base. You can enable voice command-and-control, transcribe audio from call centers, and more. It can process real-time streaming or prerecorded audio, using Google's machine learning technology. Note that google-cloud-speech-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-speech instead. See the readme for more details.
Google Speech-to-Text enables developers to convert audio to text by applying powerful neural network models in an easy-to-use API. The API recognizes more than 120 languages and variants to support your global user base. You can enable voice command-and-control, transcribe audio from call centers, and more. It can process real-time streaming or prerecorded audio, using Google's machine learning technology. Note that google-cloud-speech-v1p1beta1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-speech instead. See the readme for more details.
A Ruby extension that provides a 2-Layer Back Propagation Neural Network, which can be used to categorize datasets of arbitrary size.
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