Everyone is a Programmer, published by Packt

This is an online course where you can learn and master the skill of low-level performance analysis and tuning.

Capture Notes related to Linear Algebra, Signal Processing wrt to AI applications

Sparse Matrix Vector optimzations

Resources to learn AI

Safe integration of OpenMP runtime across GCC and Intel compilers

Resources to learn AI

ML algorithms implemented and derived from first-principles in Jupyter Notebooks and NumPy

Algorithms & Data structures in C++.

Port of OpenAI's Whisper model in C/C++

100+ AI Agent & RAG apps you can actually run — clone, customize, ship.

BLAS-like Library Instantiation Software Framework

Companion webpage to the book "Mathematics For Machine Learning"

Curated coding interview preparation materials for busy software engineers

If you want to become good at system design, join this newsletter now 👇

A tool for running small microbenchmarks on recent Intel and AMD x86 CPUs.

Code Examples from "C++ Software Design: Design Principles and Patterns for High-Quality Software" (ISBN: 1098113160)

This repository contains the code for some blog posts on the Wasserstein metric. For further details, please refer to the corresponding posts.

Parallel Computing with Pthreads

Master programming by recreating your favorite technologies from scratch.

Rutgers APL correctly rounded math library

Advanced Linear Algebra: Foundations to Frontiers (ALAFF) assignments repository

High-Performance Reproducible BLAS using posit arithmetic

Polynomial Approximations using the Remez Algorithm

ML/DL papers which I found useful. Lots of them.

BLISlab: A Sandbox for Optimizing GEMM