Stars
Official inference framework for 1-bit LLMs
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
Open standard for machine learning interoperability 8000
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
BiomedParse: A Foundation Model for Joint Segmentation, Detection, and Recognition of Biomedical Objects Across Nine Modalities
A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.
Visualize ONNX models with model-explorer
Generative AI extensions for onnxruntime
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Run compilers interactively from your web browser and interact with the assembly
An extension to trace, extract, and measure ops from running PyTorch models
ONNX Script enables developers to naturally author ONNX functions and models using a subset of Python.
Medical Imaging Deep Learning library to train and deploy 3D segmentation models on Azure Machine Learning
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.
3D U-Net model for volumetric semantic segmentation written in pytorch