jpdunc23/earth2studio
Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
Repositories
jpdunc23/future.apply
:rocket: R package: future.apply - Apply Function to Elements in Parallel using Futures
jpdunc23/xpartition
Tool for writing large xarray datasets to zarr stores with independent processes
jpdunc23/wavelet-playground
Playground and utils for learning about wavelets, in Python.
jpdunc23/simChef-culinary-school
Cooking up reliable simulations in R
jpdunc23/adaptive-wavelets
Adaptive, interpretable wavelets across domains (NeurIPS 2021)
jpdunc23/staNMF
stability driven NMF
jpdunc23/swadist
SWADist: Codistilled Stochastic Weight Averaging
jpdunc23/gitignore
A collection of useful .gitignore templates
jpdunc23/stat243-fall-2022
This repository holds course materials for the fall 2022 offering of Statistics 243 at UC Berkeley.
jpdunc23/quarto-hello-world
Testing out quarto
jpdunc23/simChef-poster-useR-2022
simChef: an intuitive framework for reliable simulation studies in R -- poster for useR! 2022
jpdunc23/webdataset
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
jpdunc23/stat-215a-fall-2020
GSI course materials for STAT215A Fall 2020
jpdunc23/sparkle
Sparse Kernel Learning in PySpark
jpdunc23/more-than-a-meter
jpdunc23/stat-215-a
GitHub repo template for STAT 215A Fall 2020
jpdunc23/tlverse-handbook
🎯 :closed_book: The Hitchhiker's Guide to the tlverse, or a Targeted Learning Practitioner's Handbook [WIP]
jpdunc23/iterative-Random-Forest
jpdunc23/nCompiler
Code-generate C++ from R
jpdunc23/nimble
The base NIMBLE package for R