| jpmml/jpmml-sklearn |
519 |
|
0 |
1 |
over 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 |
over 2 years ago |
35 |
August 07, 2023 |
74 |
apache-2.0 |
Python |
| Convert scikit-learn models and pipelines to ONNX |
| DataCanvasIO/HyperGBM |
306 |
|
0 |
1 |
over 2 years ago |
17 |
May 31, 2022 |
6 |
apache-2.0 |
Python |
| A full pipeline AutoML tool for tabular data |
| project-codeflare/codeflare |
199 |
|
0 |
0 |
over 2 years ago |
4 |
July 09, 2021 |
16 |
apache-2.0 |
Jupyter Notebook |
| Simplifying the definition and execution, scaling and deployment of pipelines on the cloud. |
| aldengolab/fake-news-detection |
93 |
|
0 |
0 |
about 9 years ago |
0 |
|
1 |
mit |
Python |
| Final Project for CAPP 30255 Advanced Machine Learning for Public Policy |
| VIDA-NYU/PipelineVis |
79 |
|
0 |
2 |
over 2 years ago |
19 |
May 04, 2022 |
13 |
bsd-3-clause |
JavaScript |
| Pipeline Profiler is a tool for visualizing machine learning pipelines generated by AutoML tools. |
| neptune-ai/examples |
60 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
mit |
Jupyter Notebook |
| 📝 Examples of how to use Neptune for different use cases and with various MLOps tools |
| mratsim/home-credit-default-risk |
59 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
|
Python |
| Default risk prediction for Home Credit competition - Fast, scalable and maintainable SQL-based feature engineering pipeline |
| data-science-lab-amsterdam/skippa |
43 |
|
0 |
0 |
almost 3 years ago |
17 |
August 18, 2023 |
0 |
other |
Python |
| SciKIt-learn Pipeline in PAndas |
| 30lm32/ml-spam-sms-classification |
23 |
|
0 |
0 |
about 5 years ago |
0 |
|
|
|
Jupyter Notebook |
| Naive Bayesian, SVM, Random Forest Classifier, and Deeplearing (LSTM) on top of Keras and wod2vec TF-IDF were used respectively in SMS classification |
