onnx/models
A collection of pre-trained, state-of-the-art models in the ONNX format
This collection offers ready-to-use machine learning models, primarily for tasks like image classification, object detection, and natural language understanding. You provide input data, such as images or text, and receive predictions or classifications without needing to train a model from scratch. It's designed for AI developers and researchers who need pre-built, state-of-the-art models for integration into their applications.
9,480 stars.
Use this if you are an AI developer looking for pre-trained machine learning models in a standardized ONNX format for tasks like identifying objects in images or classifying text.
Not ideal if you are an end-user without programming knowledge, as this project requires technical expertise to utilize the models.
Stars
9,480
Forks
1,562
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/onnx/models"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
NTMC-Community/MatchZoo
Facilitating the design, comparison and sharing of deep text matching models.
NTMC-Community/MatchZoo-py
Facilitating the design, comparison and sharing of deep text matching models.
opencv/opencv_zoo
Model Zoo For OpenCV DNN and Benchmarks.
gizatechxyz/Giza-Hub
Curated list of ZKML models and use cases made with Giza
theonesud/Pytorch-Model-Zoo
A collection of deep learning models implemented in PyTorch