Showing 1-6 of 6 projects
High-performance LLM deployment engine for cross-platform AI model execution
High-performance in-browser LLM inference engine for building AI-powered web applications and tools.
Open-source machine learning compiler framework for building and optimizing AI models across a variety of hardware.
A browser-based implementation of the Stable Diffusion AI model, enabling in-browser image generation.
This repository provides the Chinese Simplified documentation for the TVM (Tensor Virtual Machine) framework, a popular open-source deep learning compiler stack.
A lightweight library to convert and run ML/DL models in high-performance inference runtimes like TensorRT, TorchScript, ONNX, and TVM.
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