Repository Index

Simple tutorials using Google's TensorFlow Framework

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

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

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

TensorFlow Tutorials

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

Implementing a Neural Network from Scratch

Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.

• latex
• machine-learning

A functional frontend framework.

JavaScript SDK Design Guide extracted from work and personal experience

• javascript-sdk
• sdk
• javascript
• document

This repository is a getting started guide to Singer.

• etl
• etl-framework
• python
• singer

A module to teach you how to module.

• nodeschool
• npm
• javascript

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

• seq2seq
• tensorflow
• tensorflow-tutorials
• python

Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano

full guide to help you integrate AI in your workflow, for both beginners and experienced users

• ai
• ai-agent
• ai-agents
• ai-coding

💬 The Step-by-Step Beginners Tutorial for Building, Testing & Deploying a Chat app in Phoenix 🚀

• phoenix
• elixir
• elixir-lang
• beginner

TranslatedChinese tutorial for Stanford CS329Z Engineering AI Agents: an AI agent course for Python developers, with 19 lectures and 4 hands-on practices, covering LLMs, RAG, tool calling, memory, multi-agent systems, evaluation, and safety. Full Markdown, online and offline HTML. Chinese course notes.

• agent-memory
• agentic-ai
• ai-agents
• chinese

A comprehensive guide on learning how to code cross platform mobile applications with the Flutter framework, from the ground up.

• flutter
• flutter-apps
• firebase
• flutterfire

Swift Playground giving an overview over the inner workings of modern compilers

A quick introduction to exploring how components can be created in several frameworks.

🤯 beginners tutorial building a real time counter in Phoenix + LiveView⚡️ Learn the fundamentals from first principals so you can make something amazing! 🚀

• phoenix-liveview
• counter
• tutorial
• example

A NodeSchool style workshopper for learning how to write native Node.js addons

A really simple ServiceWorker example, designed to be an interactive introduction to ServiceWorker