My personal notes, remarks, and attempts at solving challenges inspired by (and sometimes directly taken from) Harry He's book, Coding Interviews. These are not official or authoritative solutions.

A collection of 100+ projects in C++ and Python that implement various data structures and algorithms. The projects are organized by language and topic, and include detailed explanations and exampl…

This repo is a work in progress aimed at gathering useful open-source resources for CFD engineers in one place. It includes notes, scripts, and tutorials for tools like ParaView, Gmsh, and more. Th…

A repository that contains all my work for deep learning specialization on coursera. This repository contains the programming assignments from the deep learning course from coursera offered by deep…

A lightweight coding agent for open models like Deepseek, Kimi, and Qwen

21 Lessons, Get Started Building with Generative AI

Data Science Using Python

🔗 Some useful websites for programmers.

PyTorch android examples of usage in applications

👁️ An authorial set of fundamental Python recipes on Computer Vision and Digital Image Processing.

🤖 An authorial set of fundamental python recipes on Machine Learning and Artificial Intelligence.

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

How to be low-level programmer

Repo for ML for Public Policy Lab course at CMU

A curated list of awesome C/C++ performance optimization resources: talks, articles, books, libraries, tools, sites, blogs. Inspired by awesome.

Jupyter notebooks and other materials developed for the Columbia course APMA 4300

Summer course on mathematical theory of deep learning

Course P1.4 of Master HPC

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

All header files from numerical recipes. 3rd Edition.

Rithwik's Chess Engine in C++

This is a workshop designed for Amazon Bedrock a foundational model service.

A best practice for deep learning project template architecture.

pytorch tutorial for beginners

Using various methods such as scenario formulation, multi-stage optimization, stochastic dynamic programming (SDP), Chance Constrained Optimization to solve optimization problems with uncertainty i…

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

🚀✨ Help beginners to contribute to open source projects

Curated list of project-based tutorials

🛁 Clean Code concepts adapted for Python