Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
created at July 23, 2020, 3:30 a.m.
Library for metric learning pipelines and models.
created at June 4, 2022, 1:12 p.m.
Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
created at Sept. 9, 2022, 3:01 a.m.
Python package for Bayesian Machine Learning with scikit-learn API
created at July 30, 2015, 3:15 a.m.
My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
created at April 18, 2018, 7:51 p.m.
A Julia package for Gaussian Processes
created at April 30, 2015, 2:46 p.m.
Tools, wrappers, etc... for data science with a concentration on text processing
created at Nov. 3, 2013, 4:13 p.m.
Examples of Machine Learning code using Comet.ml
created at Nov. 21, 2018, 6 p.m.
Material for the Big Data Analytics exercise classes - INFOH515 - Big Data : Distributed Data Management and Scalable Analytics - Université Libre de Bruxelles
created at April 12, 2018, 7:57 a.m.