James Lamb

(he/him) RAPIDS packaging at NVIDIA. LightGBM maintainer. Economist at heart.

Projects

LightGBM

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.

C++ - Released: 05 Aug 2016 - 16,067

cudf

cuDF - GPU DataFrame Library

C++ - Released: 07 May 2017 - 7,236

cuml

cuML - RAPIDS Machine Learning Library

C++ - Released: 11 Oct 2018 - 3,879

pydistcheck

Linter that finds portability issues in Python package distributions (wheels, sdists, conda packages).

Python - Released: 21 Jun 2022 - 27

lightgbm-dask-testing

Test LightGBM's Dask integration on different cluster types

Jupyter Notebook - Released: 15 Jan 2021 - 12

teaching

Repository to hold slides, syllabi, etc. for courses I've taught.

HTML - Released: 30 Dec 2016 - 9

talks

Conference talks, meetup talks, and misc. writing

CSS - Released: 21 Apr 2019 - 22