A full pipeline AutoML tool for tabular data

AGATHA: Automatic Graph-mining And Transformer based Hypothesis generation Approach

Unified Distributed Execution

Parallel Lammps Python interface - control a mpi4py parallel LAMMPS instance from a serial python process or a Jupyter notebook - based on executorlib

Loop like a pro, make parameter studies fun.

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.

Launch a Dask cluster from a Poetry environment

Procurement: Dask Cluster as a Process.

HPC cluster deployment and management for the Hetzner Cloud

Python library to query and transform genomic data from indexed files

Efficiently read climate/meteorology data into Xarray using Dask for parallelization. Transform the data for your modelling needs.

Magic commands to support running MPI python code as well as multi-node Dask workloads on Jupyter notebooks.

Preserve all necessary runtime data of a Dask client in order to "replay" and analyze the performance and behavior of the client after the fact

Python 3 tools for distributed analysis and visualisation of big climate data on HPC systems.

Wukong: a fast and efficient serverless DAG engine.

A custom dask remote jobqueue for HTCondor.

📖 Automate e-book conversion into illustrated images with local AI, simplifying the creative process from text extraction to stunning visuals.

Testing PyCaret, Fugue, and Dask

Distributed solution for Traveling Salesman Problem using Dask.distributed and OR-Tools

Python library for implementing state-of-the-art Bayesian filtering techniques like Kalman Filters and Particle Filters.