| szilard/benchm-ml |
1,839 |
|
0 |
0 |
over 3 years ago |
0 |
|
11 |
mit |
R |
| A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.). |
| spotify/featran |
465 |
|
1 |
11 |
almost 3 years ago |
34 |
December 04, 2019 |
11 |
apache-2.0 |
Scala |
| A Scala feature transformation library for data science and machine learning |
| MLWhiz/data_science_blogs |
232 |
|
0 |
0 |
over 3 years ago |
0 |
|
7 |
|
Jupyter Notebook |
| A repository to keep track of all the code that I end up writing for my blog posts. |
| BogdanCojocar/medium-articles |
97 |
|
0 |
0 |
over 3 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Repo for all my code on the articles I post on medium |
| polyaxon/mloperator |
89 |
|
0 |
0 |
about 2 years ago |
0 |
|
0 |
apache-2.0 |
Go |
| Machine Learning Operator & Controller for Kubernetes |
| zhengruifeng/SparkGBM |
57 |
|
0 |
0 |
about 6 years ago |
0 |
|
1 |
apache-2.0 |
Terra |
| Spark-based GBM |
| rapidsai/spark-examples |
54 |
|
0 |
0 |
over 5 years ago |
0 |
|
8 |
apache-2.0 |
Jupyter Notebook |
| RAPIDS Spark examples |
| odnoklassniki/pravda-ml |
52 |
|
0 |
0 |
over 3 years ago |
9 |
March 11, 2019 |
0 |
apache-2.0 |
Scala |
| This project is used to capture machine learning pipelines created on top of Spark as OK |
| znly/go-ml-transpiler |
46 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| An open source Go transpiler for machine learning models. |
| YCG09/xgbspark-text-classification |
43 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
apache-2.0 |
Scala |
| XGBoost on Spark for Chinese Text Classification |
