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)

Data Distribution components for the ALICE O2

Simple CLI tool for diagnostics and debugging of Cyphal networks

This repository contains the code for the CVPR 2020 paper "Exploring Data Aggregation in Policy Learning for Vision-based Urban Autonomous Driving"

Data logistics system enabling real-time pathogen surveillance. Built for the Seattle Flu Study.

Consistent Hashing Algorithm Package for Scalable Data Distribution

A data analysis package that helps users determine the mean, standard deviation and probability distribution of different datasets and outcomes.

My Development repository for EPAR's ADIQuT

These scripts examine and display visual representations of .bedGraph and .bed files associated with CHIP-seq datasets.

Statistical studies.

A class used to generate numbers based on various distributions

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.

Performance of k-Means and k-Medoid based Data Distribution Pattern

Proof of concept for discreetly watermarking a database extract for distribution to unsecured third parties, supporting up to 2^128 recipients.

A lightweight, performant server for managed data objects' distribution, through connectors.