Neural Network
Graph Neural Network capabilities for Ruvector - Node.js bindings
architecture-free neural network library
A tiny neural network for natural language detection.
Graph Neural Network capabilities for Ruvector - linux-x64-gnu platform
Graph Neural Network capabilities for Ruvector - linux-x64-musl platform
High-performance neural network swarm orchestration in WebAssembly
No description provided.
Architecture-free neural network library with genetic algorithm implementations
Graph Neural Network capabilities for Ruvector - darwin-arm64 platform
Graph Neural Network capabilities for Ruvector - win32-x64-msvc platform
artificial neural network Javascript library
A JavaScript neural network.
Simple to use Neural Network
Graph Neural Network capabilities for Ruvector - darwin-x64 platform
Neural network trend forecasting
Deep Neural Network Library for JavaScript.
A Simple Node.js AI Library for Neural Network
Graph Neural Network capabilities for Ruvector - linux-arm64-gnu platform
MediaPipe BlazePalm palm detection neural network model for Unity Barracuda
MediaPipe hand landmark detection neural network model for Unity Barracuda
Graph Neural Network capabilities for Ruvector - linux-arm64-musl platform
MediaPipe face landmark detection neural network model for Unity Barracuda
MediaPipe BlazeFace face detection neural network model for Unity Barracuda
Modular neural network with an implementation of back propagation learning algorithm.
A neural network library
Feed-forward neural networks in rust
A very basic Neural Network system with some nice activation functions and an easy to understand and execute training process
Neural network libary
A neural-network implementation of the OxiNEAT crate's Genome trait.
Core crate for minidx, a simple + compile-time neural-network library.
Visualization crate for minidx, a simple + compile-time neural-network library.
Model factory and registry system for dynamic neural network model creation and management
Neural Networks framework with model specification & data preprocessing features.
Deep reinforcement learning algorithms for rlevo (internal crate — use `rlevo` for the full API)
Neural network implementations for the sklears machine learning library
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.
A simple feed-forward Neural Network gem
Neural Network
A simple neural network implementation in Ruby.
neural network ruby implementaiton
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.
Libary for working with neural networks in Ruby.
Library to create neural networks. Features perceptron, MLP, and deep feed forward networks. Uses a logistic squash function.
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-v2 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.
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.
No description provided.
No description provided.
No description provided.