Empowering Intelligent Futures, One Edge at a Time
Neurenix is an AI framework optimized for embedded devices (Edge AI) with support for multi-agent systems, reinforcement learning, and distributed clusters.
Key Features
Edge AI Optimized
Purpose-built for embedded devices and edge computing with hot-swappable backends
Multi-Agent Systems
Native support for AI agents and multi-agent systems with coordination mechanisms
Reinforcement Learning
Comprehensive RL algorithms including DQN, PPO, SAC, A2C, and DDPG
Distributed Training
Scale with MPI, Horovod, and DeepSpeed for large-scale model training
Hardware Acceleration
Multi-backend support: CUDA, ROCm, Vulkan, ARM, NPU, TPU, and more
Quantum Computing
Integration with Qiskit and Cirq for hybrid quantum-classical computing
Quick Start
Installation
Install Neurenix with pip and get started in minutes
Quickstart Guide
Build your first AI agent in under 5 minutes
Core Concepts
Learn about tensors, devices, and neural networks
API Reference
Explore the complete API documentation
Advanced Capabilities
Graph Neural Networks
GCN, GAT, GraphSAGE and more for graph-structured data
Federated Learning
Secure, privacy-preserving distributed learning
AutoML
Automated hyperparameter tuning and neural architecture search
Explainability
SHAP, LIME, and feature importance for model interpretability
Community
Join our growing community of AI developers and researchers.GitHub
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