Repository Index

From the basics to slightly more interesting applications of Tensorflow

Kubernetes clusters for the hobbyist.

• kubernetes
• guide
• terraform
• security

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.

🚀 Real-world DevOps projects for aspiring engineers — Beginner to Advanced. Covers AWS, Kubernetes, Docker, CI/CD, Terraform, Jenkins, and more. Hands-on learning with step-by-step guides.

• devops
• devops-learning
• devops-poc
• devops-project

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

how to build modular applications with browserify

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

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

: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

Quantitative analysis, strategies and backtests

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

TranslatedCAPTCHA recognition

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

Demonstrates how to build a live broadcast app(Swift 3)

Handout for the tutorial "Creating publication-quality figures with matplotlib"

From Shell to Plate: Savor the Zest of Fish 🦞

• cookbook
• tutorial
• fish

The OWASP NodeGoat project provides an environment to learn how OWASP Top 10 security risks apply to web applications developed using Node.js and how to effectively address them.

• nodejs
• owasp-top-ten
• javascript
• docker

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

• latex
• machine-learning

Getting ADB, root, backups and custom apps onto locked-down Android photo frames (Skylight Calendar, BIUFRAME)

Malware samples, analysis exercises and other interesting resources.

• malware-samples
• trickbot
• pcaps
• lokibot

Cookbook for Node on FHIR and the clinical Meteor.js build pipeline. Create FDA, HIPPA, and HL7 compliant Javascript/Node applications!

A 100-day challenge exploring IoT and embedded systems using ESP32, ESP8266, and Raspberry Pi Pico with MicroPython. Each day covers a new sensor or module with complete code, circuit diagram, and explanation.

• 100daysofcode
• cpp
• esp32
• esp8266

CatBoost tutorials repository

• catboost
• tutorials
• ipython-notebook
• ipython

TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data

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

• seq2seq
• tensorflow
• tensorflow-tutorials
• python