Home – Welcome to MLBox’s official documentation — MLBox Documentation

MLBox is a powerful Automated Machine Learning python library. It provides the following features:

Fast reading and distributed data preprocessing/cleaning/formatting.
Highly robust feature selection and leak detection.
Accurate hyper-parameter optimization in high-dimensional space.
State-of-the art predictive models for classification and regression (Deep Learning, Stacking, LightGBM,…).
Prediction with models interpretation.


ryanjay0/miles-deep: Deep Learning Porn Video Classifier/Editor with Caffe

Using a deep convolutional neural network with residual connections, Miles Deep quickly classifies each second of a pornographic video into 6 categories based on sexual act with 95% accuracy. Then it uses that classification to automatically edit the video. It can remove all the scenes not containing sexual contact, or edit out just a specific act.


xgboost-node

XGBoost-Node is the first port of XGBoost to run existing XGBoost model with Node.js.

XGBoost is a library from DMLC. It is designed and optimized for boosted trees. The underlying algorithm of XGBoost is an extension of the classic gbm algorithm. With multi-threads and regularization, XGBoost is able to utilize more computational power and get a more accurate prediction.


surikov/webaudiofont: Use full GM set of musical instruments to play MIDI and single sounds or effects. Support for reverberation and equaliser. No plugins, no Flash. Pure HTML5 implementation compatible with desktop and mobile browser. See live examples.

Use full GM set of musical instruments to play MIDI and single sounds or effects. Support for reverberation and equaliser. No plugins, no Flash. Pure HTML5 implementation compatible with desktop and mobile browser.