Must-read Papers for File System (FS)
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.
Simple CLI tool for diagnostics and debugging of Cyphal networks. For the newer Cyphal v1.1, prefer https://github.com/OpenCyphal-Garage/cynic
This repository contains the code for the CVPR 2020 paper "Exploring Data Aggregation in Policy Learning for Vision-based Urban Autonomous Driving"
C++ delegates, signals, and messaging across threads and networks.
Data logistics system enabling real-time pathogen surveillance. Built for the Seattle Flu Study.
Consistent Hashing Algorithm Package for Scalable Data Distribution
A lightweight, performant server for managed data objects' distribution, through connectors.
An example, that showcases how to connect an industrial environment to an Unified Namespace. Using Siemens Industrial Edge and Apps.
Data Distribution components for the ALICE O2
A data analysis package that helps users determine the mean, standard deviation and probability distribution of different datasets and outcomes.
This project focusing on statistical analysis to understand and prepare data for potential machine learning applications. The dataset house_price.csv includes property prices in Bangalore. The analysis aims to perform exploratory data analysis (EDA), detect and handle outliers, check data distribution and normality, and analyze correlations.
Proof of concept for discreetly watermarking a database extract for distribution to unsecured third parties, supporting up to 2^128 recipients.
Static DDCL and Dynamic DDCL are two approaches to Curriculum Learning and Self-Paced Learning respectively.
Práctica de bases de datos sobre distribución, fragmentación y organización de datos en diferentes escenarios.
Cyphal Network Investigation Console
My Development repository for EPAR's ADIQuT
Statistical studies.
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