Repository Index

llama3 implementation one matrix multiplication at a time

A FREE comprehensive reverse engineering tutorial covering x86, x64, 32-bit/64-bit ARM, 8-bit AVR and 32-bit RISC-V architectures.

• reverse-engineering
• hacking
• x86
• x64

Android Transition animations explanation with examples.

The complete guide to static typing in "React & Redux" apps using TypeScript

• react
• redux
• typescript
• patterns

Pocket Flow: Codebase to Tutorial

• coding
• large-language-model
• large-language-models
• llm

TranslatedADB Usage Complete

• android-adb
• android-debug-bridge
• android

TranslatedPython open-source project "The Road to Self-Taught Programming", with step-by-step tutorials for beginners: AI Lab, treasure videos, data structures, study guides, hands-on machine learning, hands-on deep learning, web crawlers, big-company interview experiences, programmer life, resource sharing.

• python3
• pytorch
• deeplearning
• deep-learning

Good ideas for iOS development, by Futurice developers.

• best-practices
• swift
• objective-c
• ios

mal - Make a Lisp

• mal
• docker
• lisp
• lisp-interpreter

TranslatedA Chinese-language guide to teaching C++ Templates. Unlike the well-known book C++ Templates, this tutorial series teaches C++ Templates as a Turing-complete language, in order to help readers thoroughly master Meta-Programming. (Under construction)

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

• deep-learning
• mit
• self-driving-cars
• deep-reinforcement-learning

This repository has examples of broken patterns in ASP.NET Core applications

Below are some simple methods for exiting vim.

• vim

Kubernetes application example tutorials

Go DDD example application. Complete project to show how to apply DDD, Clean Architecture, and CQRS by practical refactoring.

• go
• golang
• ddd
• clean-architecture

Simple tutorials using Google's TensorFlow Framework

From the basics to slightly more interesting applications of Tensorflow

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

how to build modular applications with browserify

:earth_americas: Simple and ready-to-use tutorials for TensorFlow

• deep-learning
• neural-network
• tensorflow
• machine-learning

Deep Learning Tutorial notes and code. See the wiki for more info.

Examples and Tutorials of Event Sourcing in .NET

• event-sourcing
• cqrs
• dotnet-core
• example

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

• machine-learning
• deep-learning
• lstm
• human-activity-recognition

‼️ A complete primer on the whys and hows of todo.txt.

• todo
• todotxt
• todos