Topic: data-distribution Goto Github
Some thing interesting about data-distribution
Some thing interesting about data-distribution
data-distribution,Data Distribution components for the ALICE O2
Organization: aliceo2group
data-distribution,This repository contains the code for the CVPR 2020 paper "Exploring Data Aggregation in Policy Learning for Vision-based Urban Autonomous Driving"
Organization: autonomousvision
Home Page: http://www.cvlibs.net/publications/Prakash2020CVPR.pdf
data-distribution,Consistent Hashing Algorithm Package for Scalable Data Distribution
User: clivern
data-distribution,A lightweight, performant server for managed data objects' distribution, through connectors.
Organization: dds-dotnet
data-distribution,Performance of k-Means and k-Medoid based Data Distribution Pattern
User: deyanarajib
data-distribution,Must-read Papers for File System (FS)
User: hegongshan
data-distribution,High performance file distribution system
Organization: hendrikx-itc
data-distribution,A class used to generate numbers based on various distributions
User: isidormanning
data-distribution,A data analysis package that helps users determine the mean, standard deviation and probability distribution of different datasets and outcomes.
User: joshasgard
data-distribution,Simple CLI tool for diagnostics and debugging of Cyphal networks
Organization: opencyphal
Home Page: https://opencyphal.org
data-distribution,Proof of concept for discreetly watermarking a database extract for distribution to unsecured third parties, supporting up to 2^128 recipients.
User: osoleve
data-distribution,These scripts examine and display visual representations of .bedGraph and .bed files associated with CHIP-seq datasets.
User: sajadamouei
data-distribution,Data logistics system enabling real-time pathogen surveillance. Built for the Seattle Flu Study.
Organization: seattleflu
data-distribution,
User: sergiorgiraldo
Home Page: https://sergiorgiraldo.github.io/phd/
data-distribution,A detailed summary of "Designing Machine Learning Systems" by Chip Huyen. This book gives you and end-to-end view of all the steps required to build AND OPERATE ML products in production. It is a must-read for ML practitioners and Software Engineers Transitioning into ML.
User: serodriguez68
Home Page: https://www.oreilly.com/library/view/designing-machine-learning/9781098107956/
data-distribution,Statistical studies.
User: thiagoneye
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