Pinned Repositories
adlfs
fsspec-compatible Azure Datake and Azure Blob Storage access
adlfs
fsspec-compatible Azure Datake and Azure Blob Storage access
CIA-VASCO
Prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
kedro-partitioned
Kedro plugin that extends support for partitioned data processing in Kedro
EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
gabrieldaiha's Repositories
gabrieldaiha/adlfs
fsspec-compatible Azure Datake and Azure Blob Storage access
gabrieldaiha/CIA-VASCO
gabrieldaiha/Prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.