My Development repository for EPAR's ADIQuT
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Updated
Apr 8, 2021 - Python
My Development repository for EPAR's ADIQuT
A class used to generate numbers based on various distributions
Performance of k-Means and k-Medoid based Data Distribution Pattern
Statistical studies.
Proof of concept for discreetly watermarking a database extract for distribution to unsecured third parties, supporting up to 2^128 recipients.
A data analysis package that helps users determine the mean, standard deviation and probability distribution of different datasets and outcomes.
High performance file distribution system
A lightweight, performant server for managed data objects' distribution, through connectors.
Data Distribution components for the ALICE O2
Consistent Hashing Algorithm Package for Scalable Data Distribution
Data logistics system enabling real-time pathogen surveillance. Built for the Seattle Flu Study.
This repository contains the code for the CVPR 2020 paper "Exploring Data Aggregation in Policy Learning for Vision-based Urban Autonomous Driving"
Simple CLI tool for diagnostics and debugging of Cyphal networks
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.
Must-read Papers for File System (FS)
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