Results for "Convolutional-Neural-Networks"

This package encompasses machine learning models, such as the Convolutional Neural Networks (CNN) model used for text recognition, empowering various foundational products under DCV architecture.

Javascript based deep learning framework for basic and convolutional neural networks.

This package includes Convolutional Neural Networks (CNN) model files designed to support character recognition capabilities of the dynamsoft-label-recognizer package.

Complete WASM toolkit for edge AI: vector search, graph DB, neural networks, DAG workflows, SQL/SPARQL/Cypher, and ONNX inference - all running in browser

Sentiment Analysis

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High-performance neural network swarm orchestration in WebAssembly

architecture-free neural network library

feedforward neural networks library

Machine learning tools

LLM-Augmented Declarative Execution

A list of all available Substrate networks and their applicable prefixes

Exotic AI mechanisms for emergent behavior - Neural Autonomous Orgs, Morphogenetic Networks, Time Crystals

AgentDB v2 - RuVector-powered graph database with Cypher queries, hyperedges, and ACID persistence. 150x faster than SQLite with integrated vector search, GNN learning, semantic routing, and comprehensive memory patterns. Includes reflexion memory, skill

component for the capturing documents

Network definitions for ethers.

An open-source machine learning framework.

Graph Neural Network capabilities for Ruvector - Node.js bindings

Endpoints, networks, etc. Can be reused throughout Injective's projects.

Neural coordination plugin for multi-agent swarm intelligence using SONA, GNN, and attention mechanisms