Every AI/ML algorithm.
Pure .NET.

The most comprehensive collection of neural network layer types available in any .NET library. Build any architecture from individual layers or use pre-built models.

Complete implementations of every major image diffusion architecture. Generate, edit, inpaint, and style images with the latest models.

Generate, edit, and transform videos using the latest diffusion-based architectures. From short clips to long-form content.

Generate music, speech, and audio effects from text descriptions using diffusion-based models.

End-to-end computer vision pipelines. From object detection to instance segmentation to text recognition, all in pure C#.

Bridge vision and language with instruction-tuned VLMs, vision encoders, and multimodal architectures.

From speech recognition to text-to-speech to audio classification. The most comprehensive audio AI implementation in any .NET library.

Complete video understanding and processing pipeline. Super-resolution, frame interpolation, tracking, action recognition, and more.

Every classical ML algorithm you need. Classification, regression, clustering, anomaly detection, dimensionality reduction, and more.

Complete RL toolkit with 50+ agent implementations. From classic Q-learning to modern transformer-based agents.

Every major parameter-efficient fine-tuning method. Adapt large models with minimal compute using LoRA variants and beyond.

Domain-specific NER models for healthcare, finance, legal, and general-purpose text understanding.

From classic SGD to cutting-edge optimizers. All with learning rate scheduling and weight decay support.

Loss functions for classification, regression, segmentation, generation, and specialized tasks.

From classic ReLU to modern gating mechanisms. Every activation function used in contemporary deep learning.

Train models across distributed clients while keeping data private. Full federated learning framework with aggregation strategies.

Specialized AI models for financial analysis, time series forecasting, risk assessment, and market prediction.

Deploy models with REST API and gRPC endpoints. Includes encrypted model protection, license management, and billing integration.

Scale model training from single GPU to multi-node clusters. Supports data parallelism, model parallelism, and hybrid strategies.

Let the algorithm find the best architecture and hyperparameters. Supports evolutionary search, Bayesian optimization, and differentiable NAS.

No Python, no native runtimes. Pure .NET with SIMD vectorization, GPU acceleration, and AOT compilation support.