A python library to send data to Arize AI!
CrysXPP: An Explainable Property Predictor for Crystalline Materials (NPJ Computational Materials - 2022)
The official Python library for Openlayer, the Continuous Model Improvement Platform for AI. 📈
A proof-of-concept for the implementation of an early fault detection system in oil wells, designed to enhance operational efficiency and reduce costs.
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.
An application of the WhizML codebase for an analysis of cardiovascular disease risk.
An advanced machine learning library designed to simplify model training, evaluation, and selection.
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