Comment Comment by asavinov Deep feature extraction is important for not only image analysis but also in other areas where specialized tools might be useful such as listed below:o https://github.com/Featuretools/featuretools - Automated feature engineering with main focus on relational structures and deep feature synthesiso https://github.com/blue-yonder/tsfresh - Automatic extraction of relevant features from time serieso https://github.com/machinalis/featureforge - creating and testing machine learning features, with a scikit-learn compatible APIo https://github.com/asavinov/lambdo - Feature engineering and machine learning: together at last! The workflow engine allows for integrating feature training and data wrangling tasks with conventional MLo https://github.com/xiaoganghan/awesome-feature-engineering - other resource related to feature engineering (video, audio, text) parent asavinov 7 years ago
o https://github.com/Featuretools/featuretools - Automated feature engineering with main focus on relational structures and deep feature synthesis
o https://github.com/blue-yonder/tsfresh - Automatic extraction of relevant features from time series
o https://github.com/machinalis/featureforge - creating and testing machine learning features, with a scikit-learn compatible API
o https://github.com/asavinov/lambdo - Feature engineering and machine learning: together at last! The workflow engine allows for integrating feature training and data wrangling tasks with conventional ML
o https://github.com/xiaoganghan/awesome-feature-engineering - other resource related to feature engineering (video, audio, text)