-
Los Alamos National Laboratory
- New Mexico, USA
-
11:42
(UTC -07:00) - http://jsta.rbind.io
- https://orcid.org/0000-0002-5924-2464
Lists (17)
Sort Name ascending (A-Z)
concavehull
concavehull softwareconda
conda utilsdata
e3sm
gee
Google Earth Engineggplot
grammar of graphicsllm
matplotlib
matplotlibmkdocs
mkdocs toolingml fortran
machine learning on/in Fortran codebasespub code
Code from publicationspycleanup
Cleaning up your Python codebasepyparallel
qmc
quantum monte carlovim
https://gist.github.com/jsta/756b32152d154c9ef70fc9e43977bb61vscode tooling
xarray
- All languages
- Assembly
- Augeas
- AutoHotkey
- Batchfile
- C
- C++
- CMake
- CSS
- Chapel
- Clojure
- CoffeeScript
- Common Lisp
- Crystal
- Cuda
- Cython
- Dockerfile
- Elixir
- Emacs Lisp
- FLUX
- Fortran
- Go
- HTML
- Haskell
- Java
- JavaScript
- Jinja
- Jsonnet
- Julia
- Jupyter Notebook
- Lua
- M4
- MATLAB
- Makefile
- Markdown
- Mathematica
- NCL
- Objective-C
- PLpgSQL
- Perl
- PostScript
- PowerShell
- Python
- R
- RMarkdown
- Racket
- Rebol
- Rich Text Format
- Roff
- Ruby
- Rust
- SCSS
- SQLPL
- Scala
- Shell
- Smarty
- Stan
- Svelte
- TeX
- TypeScript
- VBA
- Vim Script
- Visual Basic .NET
- Vue
- XSLT
- sed
Starred repositories
Vim exercises based on the book - Practical Vim.
A curated list of awesome CMake resources, scripts, modules and examples.
Bayesian Adaptive Spline Surfaces for flexible and automatic regression
This repository is developed with the purpose of quickly generating Flood Inundation Maps (FIM) for emergency response and risk assessment. It is developed under Surface Dynamics Modeling Lab (SDML).
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
GitHub Action to install QEMU static binaries
Compiled and Geo-Referenced Lake Bathymetry Sources
Large-scale flood modeling and forecasting with FloodCast (https://doi.org/10.1016/j.watres.2024.122162)
Pandas DataFrames as Interactive DataTables
Machine learning algorithms for many-body quantum systems
The official implementation of UNetMamba: An Efficient UNet-Like Mamba for Semantic Segmentation of High-Resolution Remote Sensing Images on PyTorch
Create delightful software with Jupyter Notebooks
Cold Regions Hydrological Model (mirror of srlabUsask)
A Jupyter-Book containing data recipes for creating HyP3 Sentinel-1 IINSAR_GAMMA and INSAR_ISCE_BURST Small Baseline Subset (SBAS) Time Series Analyses with MintPy
Dragon distributed runtime for HPC and AI applications and workflows
Rapid fuzzy string matching in Python using various string metrics
Distributed PyTorch implementation of multi-headed graph convolutional neural networks
A deep learning library for use in high-performance computing applications in modern Fortran
Reference implementations of MLPerf™ inference benchmarks
Reference implementations of MLPerf™ training benchmarks
TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.
Tutorials in Jupyter Notebook for MintPy