modelhub-ai/modelhub-engine
Backend library, framework, and API for models in modelhub
This is a backend library and framework for developers who contribute machine learning models to the Modelhub platform. It provides the core structure for handling data input/output, converting data for deep learning libraries, and defining how models perform preprocessing, inference, and postprocessing. It's used by developers creating and integrating new AI models into the Modelhub ecosystem.
No commits in the last 6 months.
Use this if you are a developer looking to integrate your machine learning model into the Modelhub platform and need a standardized framework for data handling and model execution.
Not ideal if you are an end-user simply looking to use existing models or a data scientist who wants to train and experiment with models outside of the Modelhub contribution framework.
Stars
10
Forks
4
Language
Python
License
MIT
Category
Last pushed
May 06, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/modelhub-ai/modelhub-engine"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
treeverse/dvc
🦉 Data Versioning and ML Experiments
runpod/runpod-python
🐍 | Python library for RunPod API and serverless worker SDK.
microsoft/vscode-jupyter
VS Code Jupyter extension
4paradigm/OpenMLDB
OpenMLDB is an open-source machine learning database that provides a feature platform computing...
uber/petastorm
Petastorm library enables single machine or distributed training and evaluation of deep learning...