Tooling for transfer learning with Boosting Models
MIT License
Gradient boosting on steroids
Experimental Gradient Boosting Machines in Python with numba.
All the Workings for GSOC-2019
Unsupervised Language Modeling at scale for robust sentiment classification
A Tiny, Pure Python implementation of Gradient Boosted Trees.
hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost ...
General boosting framework for any regression estimator
just a bunch of useful embeddings
Extends scikit-learn with new models, transformers, metrics, plotting.
The code for 2020 Tencent College Algorithm Contest, and the online result ranks 1st.
Python interface to automatically formulate Machine Learning models into Mixed-Integer Programs
State-of-the art Automated Machine Learning python library for Tabular Data
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking,...
Super easy library for BERT based NLP models