Showing 41-60 of 79 projects
A lightweight, self-contained Rust library for running Tensorflow and ONNX models with no dependencies
A C++ library for building local AI inference platforms with support for ONNX models.
A fast, on-device, multilingual text-to-speech (TTS) library running natively via ONNX.
Optimizes large language models for low-bit precision and sparsity, improving model compression techniques.
A tool for converting TensorFlow, Keras, TensorFlow.js, and TFLite models to the ONNX format.
An open-source Python library for building text-to-speech (TTS) applications using the Kokoro engine and ONNX runtime.
Turn any computer or edge device into a command center for your computer vision projects.
SparseML provides a library for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models.
A fast and efficient ONNX model inference and training library for Rust developers working with AI.
A Python library that uses AnimeGANv3 to convert photos or videos into anime-style art.
A library for running machine learning models on FPGAs using high-level synthesis (HLS) tools.
Robust real-time face and facial landmark tracking on CPU with Unity integration for virtual youtubers/VTubers.
ONNX.js allows developers to run ONNX machine learning models using JavaScript in the browser or Node.js.
PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.
A WebGPU-accelerated ONNX inference run-time written 100% in Rust, ready for native and the web.
A C++ library that accelerates YOLOv8 object detection using NVIDIA's TensorRT framework.
Examples for using ONNX Runtime for machine learning inferencing.
A Python-based multimodal OCR tool for efficient offline processing of LaTeX, ZhEn, and tables on Windows.
Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3/V2, and other popular computer vision models for PyTorch.
Converts Apple's NeuralHash model for CSAM detection to ONNX format for reverse engineering and analysis.
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