PINTO0309/PINTO_model_zoo

Open standard for machine learning interoperability

Convert Machine Learning Code Between Frameworks

Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

LiteRT, successor to TensorFlow Lite. is Google's On-device framework for high-performance ML & GenAI deployment on edge platforms, via efficient conversion, runtime, and optimization

A retargetable MLIR-based machine learning compiler and runtime toolkit.

Largest list of models for Core ML (for iOS 11+)

A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

A collection of pre-trained, state-of-the-art models in the ONNX format