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High-performance transliteration engine for Vedic Sanskrit texts with comprehensive benchmarking
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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Data structures and interview questions implemented in Python with explanations and links to further readings
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Data for the quantitative study of (Vedic) Sanskrit
Selected solutions to the book Linear Algebra Done Wrong.
Carbon Language's main repository: documents, design, implementation, and related tools. (NOTE: Carbon Language is experimental; see README)
VIP cheatsheets for Stanford's CS 229 Machine Learning
A collection of resources for learning type theory and type theory adjacent fields.
Learn Go with test-driven development
Main application code for Ambuda, a breakthrough Sanskrit library (ambuda.org)
This repository contains the pseudocode(pdf) of various algorithms and data structures necessary for Interview Preparation and Competitive Coding
A book series (2 published editions) on the JS language.
Preparing for machine learning interviews
Solutions of Reinforcement Learning, An Introduction
Chicago undergraduate mathematics bibliography
A Tufte-inspired LaTeX class for producing handouts, papers, and books