Gallery of examples¶

Basic Examples¶

This gallery consists of introductory examples and examples demonstrating specific features of MRCpy library.

Example: Use of MRC with different settings — Example: Use of MRC with different settings¶

Example: Use of CMRC with different settings — Example: Use of CMRC with different settings¶

Example: Use of AMRC (Adaptative MRC) for Online Learning — Example: Use of AMRC (Adaptative MRC) for Online Learning¶

Example: Use of DWGCS (Double-Weighting General Covariate Shift) for Covariate Shift Adaptation — Example: Use of DWGCS (Double-Weighting General Covariate Shift) for Covariate Shift Adaptation¶

Further applications¶

This gallery contains examples that illustrate further applications of MRCpy library and its features.

MRCs with Deep Neural Networks: Part I — MRCs with Deep Neural Networks: Part I¶

MRCs with Deep Neural Networks: Part II — MRCs with Deep Neural Networks: Part II¶

Hyperparameter Tuning: Upper Bound vs Cross-Validation — Hyperparameter Tuning: Upper Bound vs Cross-Validation¶

Example: Comparison to other methods — Example: Comparison to other methods¶

Example: Use of Upper and Lower bound as error estimation — Example: Use of Upper and Lower bound as error estimation¶

Example: Predicting COVID-19 patients outcome using MRCs — Example: Predicting COVID-19 patients outcome using MRCs¶

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