#
classification-database
Here are 3 public repositories matching this topic...
ML Experiment Tracker is a lightweight machine learning pipeline tool for logging experiments, tracking training results, and evaluating model performance in a structured and reproducible way.
python data-science random-forest numpy scikit-learn ml pandas credit-card-fraud logistic-regression imbalanced-data model-evaluation fraud-detection roc-auc ai-project classification-database ml-pipeline experiment-tracking
-
Updated
Jan 25, 2026 - Python
A dataset for validating computer vision models for classification, detection and segmentation before testing it out with real world datasets
-
Updated
Apr 29, 2019 - Python
Improve this page
Add a description, image, and links to the classification-database topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the classification-database topic, visit your repo's landing page and select "manage topics."