Optimize, convert and deploy machine learning models as fast inference API using Triton and ORT. Currently support Hugging Face transformers, PyToch, Tensorflow, SKLearn and XGBoost models.
APACHE-2.0 License
Transpile trained scikit-learn estimators to C, Java, JavaScript and others.
Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
Python library for deploying models built using Python to Alteryx Promote.
[UNMAINTAINED] Automated machine learning for analytics & production
Amazon SageMaker Local Mode Examples
MLOps Python Library
TanD - Train and Deploy is a no-code framework to automatize the Machine Learning workflow.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
ONNXMLTools enables conversion of models to ONNX
mlserve turns your python models into RESTful API, serves web page with form generated to match y...
Automated Tool for Optimized Modelling
Zero/few shot learning components for scikit-learn pipelines with LLMs and transformers.
🏬 modelstore is a Python library that allows you to version, export, and save a machine learning ...
An inference server for your machine learning models, including support for multiple frameworks, ...
🔧 Train off-the-shelf machine learning models in one line of code