Non-negative matrix factorization (NMF) is a powerful technique for extracting latent structures from high-dimensional data, with applications spanning recommender systems, bioinformatics, and image ...

This repository contains my complete solutions to the legendary Karan's Mega Project List — a curated collection of programming challenges designed to improve coding skills across multiple domains.

For an innermost loop kernel in assembly, this tool allows automatic instruction fetching of assembly code and automatic runtime prediction including throughput analysis and detection for critical ...

Multiplication in Python may seem simple at first—just use the * operator—but it actually covers far more than just numbers. You can use * to multiply integers and floats, repeat strings and lists, or ...

Create a program that generates times tables for a given number. The program should ask the user to input a number and then print the times table for that number up ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This research introduces a machine learning-centric approach to replicate olfactory ...

Presenting my Python Training/Internship Report with OctaNet Services Pvt Ltd. Python is a high-level, interpreted programming language known for its simplicity and readability. It was created by ...

Emerging memories have been developed as new physical infrastructures for hosting neural networks owing to their low-power analog computing characteristics. However, accurately and efficiently ...

This work presents sPyNNaker 4.0.0, the latest version of the software package for simulating PyNN-defined spiking neural networks (SNNs) on the SpiNNaker neuromorphic platform. Operations ...

Critical issues in automated chemistry discovery include cherry picking, disregarding negative data, and arbitrary interpretation of outcomes. Robotic data collection has accelerated experimentation ...