Our great sponsors
-
mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
-
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
Link to the source code: https://github.com/mljar/mljar-supervised (MIT License)
All ML experiments have automatic documentation that creates Markdown reports ready to commit to the repo (example1, example2).
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a more popular project.
Related posts
- Show HN: Mljar Automated Machine Learning for Tabular Data (Explanation,AutoDoc)
- Fairness in machine learning
- Show HN: AutoML Python Package for Tabular Data with Automatic Documentation
- Python AutoML on Tabular Data with FeatureEng, HP Tuning, Explanations, AutoDoc
- Data Science and full-stack-web development