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this is downloadings of all educative.io free student subscription courses as pdf from GitHub student pack
A bounded multi-producer multi-consumer concurrent queue written in C++11
A lock-free multi-producer multi-consumer ring buffer FIFO queue.
A collection of lock-free data structures written in standard C++11
Thread pool implementation using c++11 threads
C++ High Performance Second Edition, published by Packt
Curated list of project-based tutorials
Resources related to distributed systems, system design, microservices, scalability and performance, etc
A workbench for writing toy implementations of distributed systems.
🦀 Small exercises to get you used to reading and writing Rust code!
This repository contains the solutions and explanations to the algorithm problems on LeetCode. Only medium or above are included. All are written in C++/Python and implemented by myself. The proble…
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
Roadmap and Resource Compilation for System Design Fight Club
My reading notes following "Designing Data Intensive Applications" (DDIA) by Martin Kleppmann
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Learn how to design systems at scale and prepare for system design interviews
A collection of learning resources for curious software engineers
prakhar3agrwal / full-stack-with-react-and-spring-boot
Forked from in28minutes/full-stack-with-react-and-spring-bootYour First Full Stack Application with React and Spring Boot
CLI/GUI for managing the battery charging status for Apple silicon (M1, M32, M3) Macs
macOS command-line utility to limit max battery charge
LORA: Low-Rank Adaptation of Large Language Models implemented using PyTorch
LLaMA 2 implemented from scratch in PyTorch
Stable Diffusion implemented from scratch in PyTorch
Attention is all you need implementation
These cheat sheets have recently been re-designed into Super High-Resolution PDF. These cheat sheets are very helpful as a quick reference for the concepts.
LLM-PowerHouse: Unleash LLMs' potential through curated tutorials, best practices, and ready-to-use code for custom training and inferencing.