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

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.

Testing PyCaret, Fugue, and Dask

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

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

Using Dask-ML on Azure ML