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