A detailed plan for the next generation of AI research infrastructure.
🔙 Back to HomeImplementation of GPU-accelerated tensor operations with mixed-precision support and automatic differentiation.
Flexible neural network layer definitions with built-in activation functions and regularization techniques.
Integrated optimizer framework supporting AdamW, RAdam, and quantum-aware optimization routines.
Comprehensive library of pre-trained models for computer vision, NLP, and quantum simulation.
Quantum machine learning integrations with support for hybrid quantum-classical models.
Specialized optimizers for variational quantum algorithms and quantum neural networks.