Topic: dask-distributed Goto Github
Some thing interesting about dask-distributed
Some thing interesting about dask-distributed
dask-distributed,Collection of machine learning algorithms ...
User: alexberndt
dask-distributed,Python 3 tools for distributed analysis and visualisation of big climate data on HPC systems.
User: antarcticrainforest
Home Page: https://esm-analysis.readthedocs.io
dask-distributed,Perform I/O intensive workloads on high-volume data sparsely located across multiple AWS regions through the use of Dask.
Organization: aws-solutions-library-samples
dask-distributed,A custom dask remote jobqueue for HTCondor.
Organization: comp-dev-cms-ita
dask-distributed,A full pipeline AutoML tool for tabular data
Organization: datacanvasio
Home Page: https://hypergbm.readthedocs.io/
dask-distributed,Loop like a pro, make parameter studies fun.
User: elcorto
Home Page: https://elcorto.github.io/psweep
dask-distributed,Python library to query and transform genomic data from indexed files
Organization: epiviz
Home Page: http://epivizfileserver.rtfd.io
dask-distributed,
Organization: estivador
dask-distributed,Magic commands to support running MPI python code as well as multi-node Dask workloads on Jupyter notebooks.
Organization: eth-cscs
Home Page: https://eth-cscs.github.io/ipcluster_magic/
dask-distributed,Script para configuración e installacion de requermientos de un worker de Dask Distributed
User: fabidick22
dask-distributed,Open Data Profiling, Quality and Analysis on NYC OpenData dataset with semantic profiling using fuzzy ratio, Levenshtein distance and regex
User: gandalf1819
dask-distributed,Code for "Training models when data doesn't fit in memory" post
User: gdmarmerola
Home Page: https://gdmarmerola.github.io/big-data-ml-training/
dask-distributed,Launch a Dask cluster from a Poetry environment
User: gjoseph92
dask-distributed,NY City Taxi Analysis using Dask
User: gyasi87
dask-distributed,A Dask library for Big Data processing in Python demo
User: ivanbgd
dask-distributed,Test LightGBM's Dask integration on different cluster types
User: jameslamb
dask-distributed,Testing PyCaret, Fugue, and Dask
User: jbris
dask-distributed,Asynchronous API using Dask and AWS Fargate
User: jkanche
dask-distributed,AGATHA: Automatic Graph-mining And Transformer based Hypothesis generation Approach
User: jsybrandt
Home Page: http://agatha-hypothesis-generation.rtfd.io/
dask-distributed,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
User: julianwgs
dask-distributed,Using Dask-ML on Azure ML
User: lebedov
dask-distributed,Fraud detection ML pipeline and serving POC using Dask and hopeit.engine. Project created with nbdev: https://www.fast.ai/2019/12/02/nbdev/
User: leosmerling-hopeit
dask-distributed,Efficiently read climate/meteorology data into Xarray using Dask for parallelization. Transform the data for your modelling needs.
Organization: limnotech
dask-distributed,Testing access performance of Sentinel-1 RTC metadata catalogs
User: maawoo
dask-distributed,Distributed solution for Traveling Salesman Problem using Dask.distributed and OR-Tools
User: mabaszadeh
dask-distributed,
Organization: matbinder
dask-distributed,Unified Distributed Execution
Organization: modin-project
Home Page: https://unidist.readthedocs.io
dask-distributed,Procurement: Dask Cluster as a Process.
Organization: octoenergy
dask-distributed,HPC cluster deployment and management for the Hetzner Cloud
Organization: pleiszenburg
Home Page: https://scherbelberg.readthedocs.io/en/latest/
dask-distributed,Parallel Lammps Python interface - control a mpi4py parallel LAMMPS instance from a serial python process or a Jupyter notebook
Organization: pyiron
Home Page: https://pylammpsmpi.readthedocs.io
dask-distributed,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.
User: rolani
dask-distributed,Top - For Dask!
User: sandal-tan
dask-distributed,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.
Organization: scalablecytometryimageprocessing
Home Page: https://scalable-cytometry-image-processing.readthedocs.io/en/latest/
dask-distributed,Notes on Data Engineering with Pandas, PySpark, Dask, Ray, Arrow DataFusion, Polars etc.
User: shauryashaurya
dask-distributed,User documentation website for the Sulis tier 2 HPC service. Built using Jekyll.
Organization: sulis-hpc
Home Page: https://sulis-hpc.github.io
dask-distributed,Evaluation Tool for Anomaly Detection Algorithms on Time Series
Organization: timeeval
Home Page: https://timeeval.readthedocs.io
dask-distributed,Code for fetching, sampling, and analysis of NYC taxi data from TLC and Uber for 2009-2018
User: vlfom
dask-distributed,Scale up concurrent requests to Earth Engine interactive endpoints with Dask
Organization: vorgeo
Home Page: https://VorGeo.github.io/earthengine-dask
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