Repository Index

Simple tutorials using Google's TensorFlow Framework

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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.

An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

• neural-network
• image-classification
• machine-learning
• caffe

:computer: :mortar_board: Git-it is a (Mac, Win, Linux) Desktop App for Learning Git and GitHub

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

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

how to build modular applications with browserify

Full Stack Web Development with Flask.

: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.

Tutorial for the Vulkan graphics and compute API

• vulkan
• tutorial
• cpp
• graphics-programming

Examples and Tutorials of Event Sourcing in .NET

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

TranslatedRUN · 润 (Rùn, "run" — slang for emigrating abroad): A Handbook for Moving Overseas (36 European countries · 110 routes · major immigration regions)

: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

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

• todo
• todotxt
• todos

A walk through the Elixir language in 30 exercises.

Quantitative analysis, strategies and backtests

• quantitative-finance
• quantitative-trading
• portfolio-management
• risk-management

XDP tutorial

• xdp
• bpf
• libbpf
• tutorial

Nginx Tutorials

TranslatedCAPTCHA recognition

• captcha-breaking
• keras-tutorials
• deep-learning
• keras

TensorFlow Tutorials

• tensorflow-tutorials
• convolutional-neural-networks
• recurrent-neural-networks

A collection of succinct guides - Public Domain