Posts

• pytorch-widedeep, deep learning for tabular data IV: Deep Learning vs LightGBM

  A thorough comparison between DL algorithms and LightGBM for tabular data for classification and regression problems

  May 28, 2021

• pytorch-widedeep, deep learning for tabular data III: the deeptabular component

  a flexible package to combine tabular data with text and images using wide and deep models.

  Feb 18, 2021

• pytorch-widedeep, deep learning for tabular data II: advanced use

  a flexible package to combine tabular data with text and images using wide and deep models.

  Dec 11, 2020

• pytorch-widedeep, deep learning for tabular data I: data preprocessing, model components and basic use

  a flexible package to combine tabular data with text and images using wide and deep models.

  Dec 6, 2020

• RecoTour III: Variational Autoencoders for Collaborative Filtering with Mxnet and Pytorch

  A deep dive into the use of Variational Autoencoders for Collaborative Filtering

  May 15, 2020