Parallel Lammps Python interface - control a mpi4py parallel LAMMPS instance from a serial python process or a Jupyter notebook
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Updated
Jun 2, 2024 - Python
Parallel Lammps Python interface - control a mpi4py parallel LAMMPS instance from a serial python process or a Jupyter notebook
Scale up concurrent requests to Earth Engine interactive endpoints with Dask
Unified Distributed Execution
Evaluation Tool for Anomaly Detection Algorithms on Time Series
Scalable Cytometry Image Processing (SCIP) is an open-source tool that implements an image processing pipeline on top of Dask, a distributed computing framework written in Python. SCIP performs projection, illumination correction, image segmentation and masking, and feature extraction.
User documentation website for the Sulis tier 2 HPC service. Built using Jekyll.
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Notes on Data Engineering with Pandas, PySpark, Dask, Ray, Arrow DataFusion, Polars etc.
Efficiently read climate/meteorology data into Xarray using Dask for parallelization. Transform the data for your modelling needs.
A Dask library for Big Data processing in Python demo
Testing PyCaret, Fugue, and Dask
A full pipeline AutoML tool for tabular data
Perform I/O intensive workloads on high-volume data sparsely located across multiple AWS regions through the use of Dask.
A custom dask remote jobqueue for HTCondor.
Asynchronous API using Dask and AWS Fargate
dask-ecs-lib is a Python library that effortlessly spins up a Dask cluster on AWS ECS using Fargate, allowing you to seamlessly execute and parallelize your functions.
Distributed solution for Traveling Salesman Problem using Dask.distributed and OR-Tools
Test LightGBM's Dask integration on different cluster types
Testing access performance of Sentinel-1 RTC metadata catalogs
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