| GokuMohandas/Made-With-ML |
34,775 |
|
0 |
0 |
over 2 years ago |
5 |
May 15, 2019 |
6 |
mit |
Jupyter Notebook |
| Learn how to design, develop, deploy and iterate on production-grade ML applications. |
| apache/airflow |
33,219 |
|
0 |
320 |
about 2 years ago |
169 |
November 27, 2023 |
890 |
apache-2.0 |
Python |
| Apache Airflow - A platform to programmatically author, schedule, and monitor workflows |
| eugeneyan/applied-ml |
24,828 |
|
0 |
0 |
over 2 years ago |
0 |
|
3 |
mit |
|
| 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production. |
| argoproj/argo-workflows |
13,966 |
|
24 |
51 |
about 2 years ago |
449 |
November 27, 2023 |
993 |
apache-2.0 |
Go |
| Workflow Engine for Kubernetes |
| mage-ai/mage-ai |
6,324 |
|
0 |
0 |
about 2 years ago |
314 |
December 06, 2023 |
189 |
apache-2.0 |
Python |
| 🧙 The modern replacement for Airflow. Build, run, and manage data pipelines for integrating and transforming data. |
| feast-dev/feast |
5,053 |
|
0 |
28 |
about 2 years ago |
116 |
September 07, 2023 |
149 |
apache-2.0 |
Python |
| Feature Store for Machine Learning |
| hemansnation/God-Level-Data-Science-ML-Full-Stack |
3,384 |
|
0 |
0 |
over 2 years ago |
0 |
|
14 |
|
Jupyter Notebook |
| A collection of scientific methods, processes, algorithms, and systems to build stories & models. Whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI |
| ploomber/ploomber |
3,318 |
|
0 |
7 |
about 2 years ago |
115 |
November 29, 2023 |
99 |
apache-2.0 |
Python |
| The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️ |
| Moataz-Elmesmary/Data-Science-Roadmap |
2,445 |
|
0 |
0 |
over 2 years ago |
0 |
|
3 |
mit |
|
| Data Science Roadmap from A to Z |
| GokuMohandas/mlops-course |
2,427 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Learn how to design, develop, deploy and iterate on production-grade ML applications. |
