Telecom-Users-Applied-Machine-Learning-Algorithms

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

A hyperparameter optimization framework

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Automated Machine Learning with scikit-learn

A comprehensive collection of data analysis and machine learning projects, showcasing techniques and models for various data challenges. Dive in to explore code examples, analyses, and machine learning workflows.

A curated list of automated machine learning papers, articles, tutorials, slides and projects

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

A python library for decision tree visualization and model interpretation.

A Hyperparameter Tuning Library for Keras

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization