lightweight MCP server for ClearML
-
Updated
Jul 24, 2025 - Python
#
ml-experiments
Here are 5 public repositories matching this topic...
A lightweight Python library for reproducible computational experiments with an ultra-simple, smart API. From idea to insight in under 5 minutes, with zero configuration.
python data-science machine-learning reproducible-research python3 statistical-analysis scientific-computing scientific-workflows ml-experiments experiment-tracking experiment-management research-framework research-tools computational-experiment research-automation
-
Updated
Aug 16, 2025 - Python
An application of the WhizML codebase for an analysis of cardiovascular disease risk.
-
Updated
Nov 17, 2023 - Python
A reusable codebase for fast data science and machine learning experimentation, integrating various open-source tools to support automatic EDA, ML models experimentation and tracking, model inference, model explainability, bias, and data drift analysis.
data-science machine-learning object-oriented-programming bias-detection ml-experiments experiment-tracking data-drift auto-eda model-explainability
-
Updated
Nov 17, 2023 - Python
An application of the WhizML codebase for an analysis of Walmart weekly sales.
-
Updated
Nov 17, 2023 - Python
Improve this page
Add a description, image, and links to the ml-experiments topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the ml-experiments topic, visit your repo's landing page and select "manage topics."