Repository Index

:books: Learn to write an embedded OS in Rust :crab:

• rust
• bare-metal
• raspberry-pi-3
• rpi3

TranslatedMachine learning tutorials

• machine-learning
• neural-network
• tensorflow
• python

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

• pytorch
• pytorch-tutorials
• pytorch-tutorials-cn
• deep-learning

Pocket Flow: Codebase to Tutorial

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

Translated:books: This repository is a summary of the technical learning journey of the author, Xiao Fuge (小傅哥), from many years of working in front-line internet Java development. It aims to give everyone a clear and detailed learning tutorial, with a focus on writing about core Java content. If this repository helps you, please show your support (follow, like, share)!

• java
• javafx
• spring
• mybaits

Algorithm and data structure articles for https://cp-algorithms.com (based on http://e-maxx.ru)

• algorithms
• translation
• algorithm-competitions
• algorithms-and-data-structures

This guide details creating a secure Linux production system. OpenSCAP (C2S/CIS, STIG).

• linux
• linux-hardening
• linux-security
• security

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

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

TranslatedStarting from 0, master the basic process of doing research and writing papers.

• ai-research
• awesome
• awesome-list
• phd

TensorFlow Tutorials with YouTube Videos

• tensorflow
• deep-learning
• machine-learning
• reinforcement-learning

TensorFlow tutorials and best practices.

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

Toturials coming with the "data science roadmap" picture.

Kubernetes application example tutorials

:dolphin: A comprehensive tutorial on getting started with Docker!

• docker
• tutorials
• cloud-computing
• microservices

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.

Claude Code Guide - Setup, Commands, workflows, agents, skills & tips-n-tricks from beginner to power user!

• ai
• ai-agent
• ai-agent-tools
• claude

: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

:earth_americas: machine learning tutorials (mainly in Python3)

• machine-learning
• data-science
• jupyter-notebook
• python3

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

Nginx Tutorials