iree-org/iree-turbine
IREE's PyTorch Frontend, based on Torch Dynamo.
This project helps machine learning engineers and researchers take their PyTorch models and prepare them for deployment, or run them more efficiently. You provide a PyTorch neural network module, and it outputs a highly optimized, compiled artifact ready for deployment to various hardware, or enables faster, interactive execution within your PyTorch workflow. It's designed for those who work with PyTorch models and need to improve their performance and deployment readiness.
105 stars. Available on PyPI.
Use this if you are a machine learning engineer or researcher using PyTorch and need to compile your models for efficient deployment or accelerate their execution.
Not ideal if you are a casual PyTorch user only experimenting with models and do not require optimized performance or deployment-ready artifacts.
Stars
105
Forks
78
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
Dependencies
7
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/iree-org/iree-turbine"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
apache/tvm
Open Machine Learning Compiler Framework
uxlfoundation/oneDNN
oneAPI Deep Neural Network Library (oneDNN)
Tencent/ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
OpenMined/TenSEAL
A library for doing homomorphic encryption operations on tensors
ARM-software/armnn
Arm NN ML Software.