jameslamb

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

NVIDIAChicago, IL

Pinned Repositories

bigforecast
Forecasting of globally important economic time series using lots of data and cool statistical stuff. Final project for "W251: Scaling Up!" in UC-Berkeley MIDS program
Language:Jupyter Notebook4 4 00
doppel-cli
Test framework for comparing the consistency of library APIs
Language:Python8 3 10612
lightgbm-dask-testing
Test LightGBM's Dask integration on different cluster types
Language:Jupyter Notebook12 2 95
pydistcheck
Linter that finds portability issues in Python package distributions (wheels, sdists, conda packages).
Language:Python35 2 591
rsixygen
A (prototype) project for creating Roxygen documentation for R6 objects
Language:R10 2 165
talks
Conference talks, meetup talks, and misc. writing
Language:CSS23 2 42
teaching
Repository to hold slides, syllabi, etc. for courses I've taught.
Language:HTML9 2 726
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.
Language:C++16.6k 433 3.4k3.8k
pkgnet
R package for analyzing other R packages via graph representations of their dependencies
Language:R153 3 15737
uptasticsearch
An Elasticsearch client tailored to data science workflows.
Language:R48 7 10836

jameslamb's Repositories

jameslamb/lightgbm-dask-testing
Test LightGBM's Dask integration on different cluster types
Language:Jupyter Notebook12 2 95
jameslamb/cuml
cuML - RAPIDS Machine Learning Library
Language:C++1 0 0
jameslamb/ci-imgs
Language:Dockerfile0 0
jameslamb/cucim
cuCIM - RAPIDS GPU-accelerated image processing library
Language:Jupyter Notebook0 0
jameslamb/cudf
cuDF - GPU DataFrame Library
Language:C++0 0
jameslamb/cugraph
cuGraph - RAPIDS Graph Analytics Library
Language:Cuda0 0
jameslamb/cugraph-gnn
Language:Python0 0
jameslamb/cugraph-pg
Language:Shell0 0
jameslamb/cuspatial
CUDA-accelerated GIS and spatiotemporal algorithms
Language:Jupyter Notebook0 0
jameslamb/cuvs
cuVS - RAPIDS vector search library
Language:Cuda0 0
jameslamb/cuxfilter
GPU accelerated cross filtering with cuDF.
Language:Python0 0
jameslamb/dask-build-environment
Build environments for various dask related projects on gpuCI
Language:Dockerfile0 0
jameslamb/dask-cuda
Utilities for Dask and CUDA interactions
Language:Python0 0
jameslamb/dependency-file-generator
Language:Python0 0
jameslamb/devcontainers
Language:Shell0 0
jameslamb/docker
Dockerfile templates for creating RAPIDS Docker Images
Language:Shell0 0
jameslamb/docs
RAPIDS Documentation Site
Language:HTML0 0
jameslamb/gha-tools
User tools for RAPIDS GitHub Actions
Language:Shell0 0
jameslamb/integration
RAPIDS - combined conda package & integration tests for all of RAPIDS libraries
Language:Shell0 0
jameslamb/kvikio
KvikIO - High Performance File IO
Language:Python0 0
jameslamb/legate-boost
Language:Python0 0
jameslamb/pynvjitlink
Language:Python0 0
jameslamb/raft
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.
Language:Cuda0 0
jameslamb/rapids-build-backend
Language:Python0 0
jameslamb/rapids-cmake
Language:CMake0 0
jameslamb/rapids-dask-dependency
Language:Shell0 0
jameslamb/rmm
RAPIDS Memory Manager
Language:C++0 0
jameslamb/ucx-py
Python bindings for UCX
Language:Python0 0
jameslamb/ucxx
Language:C++0 0
jameslamb/wholegraph
WholeGraph - large scale Graph Neutral Networks
Language:Cuda0 0