James Bourbeau

hacking-dask. "Hacking Dask" tutorial materials

dask-optuna. Scale Optuna with Dask

madpy-dask. MadPy Dask talk materials

pyunfold. Iterative unfolding for Python

openbrewerydb-python. Python wrapper for the Open Brewery DB API

madpy-numba. Materials for Numba Madpy talk

dask-binder-template. Jupyter Notebook

madpy-ml-sklearn-2018. MadPy supervised machine learning talk

anisotropy. Code used to study the cosmic-ray anisotropy using IceCube

sky-anisotropy. Python package for sky map anisotropy calculations

cr-composition. IceCube cosmic-ray composition analysis

dask-optuna-coiled-webinar. Jupyter Notebook

big-data-madison-ml-sklearn. Jupyter Notebook

ddw-dask. Dask @ Data Driven Wisconsin 2019

segment-geospatial. A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

simpeg. Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.

ShowerLLH_scripts. ShowerLLH project scripts

pytest. The pytest framework makes it easy to write small tests, yet scales to support complex functional testing

ShowerLLH. ShowerLLH project for IceTop reconstruction

composition. Jupyter Notebook

beamer-theme. TeX

dask-blog. Dask development blog

earthaccess. Python Library for NASA Earthdata APIs

dask-tutorial-advanced. Jupyter Notebook

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.

dask-glm-feedstock. A conda-smithy repository for dask-glm.

serverless-datacube-demo. Building a Zarr data cube using serverless cloud compute