| edyoda/data-science-complete-tutorial |
1,575 |
|
0 |
0 |
over 3 years ago |
0 |
|
12 |
|
Jupyter Notebook |
| For extensive instructor led learning |
| combust/mleap |
1,479 |
|
15 |
12 |
over 2 years ago |
26 |
May 07, 2021 |
109 |
apache-2.0 |
Scala |
| MLeap: Deploy ML Pipelines to Production |
| jpmml/sklearn2pmml |
674 |
|
3 |
8 |
over 2 years ago |
141 |
December 08, 2023 |
14 |
agpl-3.0 |
Python |
| Python library for converting Scikit-Learn pipelines to PMML |
| alegonz/baikal |
573 |
|
0 |
1 |
about 5 years ago |
7 |
November 15, 2020 |
5 |
bsd-3-clause |
Python |
| A graph-based functional API for building complex scikit-learn pipelines. |
| Neuraxio/Neuraxle |
533 |
|
0 |
1 |
over 3 years ago |
26 |
August 16, 2022 |
63 |
apache-2.0 |
Python |
| The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments. |
| jpmml/jpmml-sklearn |
519 |
|
0 |
1 |
about 2 years ago |
40 |
October 23, 2023 |
10 |
agpl-3.0 |
Java |
| Java library and command-line application for converting Scikit-Learn pipelines to PMML |
| onnx/sklearn-onnx |
491 |
|
3 |
62 |
about 2 years ago |
35 |
August 07, 2023 |
74 |
apache-2.0 |
Python |
| Convert scikit-learn models and pipelines to ONNX |
| microsoft/NimbusML |
265 |
|
0 |
0 |
over 5 years ago |
0 |
|
78 |
other |
Python |
| Python machine learning package providing simple interoperability between ML.NET and scikit-learn components. |
| Hydrospheredata/hydro-serving |
248 |
|
0 |
0 |
about 4 years ago |
0 |
|
2 |
apache-2.0 |
Mustache |
| MLOps Platform |
| tvdboom/ATOM |
137 |
|
0 |
0 |
over 2 years ago |
51 |
July 05, 2024 |
8 |
mit |
Jupyter Notebook |
| Automated Tool for Optimized Modelling |
