A full pipeline AutoML tool for tabular data

Evaluation Tool for Anomaly Detection Algorithms on Time Series

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

Unified Distributed Execution

Notes on Data Engineering with Pandas, PySpark, Dask, Ray, Arrow DataFusion, Polars etc.

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.

Perform I/O intensive workloads on high-volume data sparsely located across multiple AWS regions through the use of Dask.

Test LightGBM's Dask integration on different cluster types

Code for "Training models when data doesn't fit in memory" post

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.

Open Data Profiling, Quality and Analysis on NYC OpenData dataset with semantic profiling using fuzzy ratio, Levenshtein distance and regex

Launch a Dask cluster from a Poetry environment

Dask tutorial；Dask汉化教程

Procurement: Dask Cluster as a Process.

Python library to query and transform genomic data from indexed files

HPC cluster deployment and management for the Hetzner Cloud

Fraud detection ML pipeline and serving POC using Dask and hopeit.engine. Project created with nbdev: https://www.fast.ai/2019/12/02/nbdev/

Scale up concurrent requests to Earth Engine interactive endpoints with Dask

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