A full pipeline AutoML tool for tabular data
-
Updated
Jun 23, 2024 - Python
A full pipeline AutoML tool for tabular data
AGATHA: Automatic Graph-mining And Transformer based Hypothesis generation Approach
Unified Distributed Execution
Python library to query and transform genomic data from indexed files
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.
HPC cluster deployment and management for the Hetzner Cloud
A custom dask remote jobqueue for HTCondor.
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
In this repo, I build a LogisticRegression prediction model with Dask and PySpark and initialize an AWS EMR cluster to run the entire pipeline.
Procurement: Dask Cluster as a Process.
Distributed solution for Traveling Salesman Problem using Dask.distributed and OR-Tools
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.
Testing PyCaret, Fugue, and Dask
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.
Launch a Dask cluster from a Poetry environment
Add a description, image, and links to the dask-distributed topic page so that developers can more easily learn about it.
To associate your repository with the dask-distributed topic, visit your repo's landing page and select "manage topics."