Join the NeuroForge Community
Over 500+ developers are currently contributing to NeuroForge's core framework. Our monthly sprints and research papers track the most advanced developments in AI research.
Next-generation open-source neural network toolkit for AI researchers and developers.
📘 Get StartedAutomatic differentiation with optimized GPU acceleration for real-time training of complex neural architectures.
Collaborative framework with 100% MIT licensed components, supported by a growing community of ML engineers.
Built-in quantum machine learning capabilities for next-generation AI development pipelines.
prelu <- neuroforge::Layer(type='prelu',
dimensions=c(64, 128, 256),
optimizer='radam',
dropout_rate=0.25)
NeuroForge's intuitive API makes it easy to build and train production-ready AI models. The framework supports over 12 different activation functions including SpinalNet, GELU, and custom quantum-aware operations.
Over 500+ developers are currently contributing to NeuroForge's core framework. Our monthly sprints and research papers track the most advanced developments in AI research.