Repository of all examples presented in the "Mastering STM32" book

UNIX-like reverse engineering framework and command-line toolset

Ghidra is a software reverse engineering (SRE) framework

MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems

A little fail-safe filesystem designed for microcontrollers

There can be more than Notion and Miro. AFFiNE(pronounced [ə‘fain]) is a next-gen knowledge base that brings planning, sorting and creating all together. Privacy first, open-source, customizable an…

real time face swap and one-click video deepfake with only a single image

MiniCPM-V 2.6: A GPT-4V Level MLLM for Single Image, Multi Image and Video on Your Phone

Free, simple, and intuitive online database diagram editor and SQL generator.

LLM101n: Let's build a Storyteller

The Autograd Engine

Script for downloading Coursera.org videos and naming them.

One-click deploy of a Knowledge Graph powered RAG (GraphRAG) in Azure

The complete load testing platform. Everything you need for production-grade load tests. Serverless & distributed. Load test with Playwright. Load test HTTP APIs, GraphQL, WebSocket, and more. Use …

A modular graph-based Retrieval-Augmented Generation (RAG) system

An unofficial userspace driver for HID++ Logitech devices

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

Introductory workshop on PINNs using the harmonic oscillator

Machine Learning Engineering Open Book

The OS for your personal finances

Python toolkit for quantitative finance

Multi-Joint dynamics with Contact. A general purpose physics simulator.

This repository contains implementations and illustrative code to accompany DeepMind publications

A collection of inspiring resources related to engineering management and tech leadership

Tenstorrent TT-BUDA Repository

A curated awesome list of lists of interview questions. Feel free to contribute! 🎓

📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings

⚡️ Front End interview preparation materials for busy engineers

Classical equations and diagrams in machine learning