2 Lines of code to track ML experiments + EDA + check into Github
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Updated
Dec 14, 2022 - Jupyter Notebook
2 Lines of code to track ML experiments + EDA + check into Github
Unsorted Playground for Machine Learning, Reinforcement Learning and other AI Experiments
ML Experimentation Platform
Contains code and slides for our talk at Cloud Next 2022: Better Hardware Provisioning for ML Experiments on GCP.
An application of the WhizML codebase for an analysis of Walmart weekly sales.
An application of the WhizML codebase for an analysis of cardiovascular disease risk.
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.
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