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.
Repository Index
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🚀 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
`SwiftUI` Framework Learning and Usage Guide. 🚀
- swiftui-example
- swiftui
- wwdc
- wwdc2019
Translated📚 Mainstream database knowledge that backend programmers should master
Analysis of Bot Protection systems with available countermeasures 🚿. How to defeat anti-bot system 👻 and get around browser fingerprinting scripts 🕵️♂️ when scraping the web?
👩🏻🏫 Learn Apollo - A hands-on tutorial for Apollo GraphQL Client (created by Graphcool)
This is a code repository for the corresponding video tutorial. Using React, Node.js, Express & MongoDB you'll learn how to build a Full Stack MERN Application - from start to finish. The App is called "Memories" and it is a simple social media app that allows users to post interesting events that happened in their lives.
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Translated🌟100+ original LLM / RL algorithm diagrams📚, a great gift from the author of 《大模型算法》 (Large Model Algorithms)! 💥 (100+ LLM/RL Algorithm Maps)
- llm
- reinforcement-learning
- algorithm
- nlp-machine-learning
Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of function calling, memory, and ReAct patterns.
:computer: :mortar_board: Git-it is a (Mac, Win, Linux) Desktop App for Learning Git and GitHub
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community
- gpt-3
- prompting
- prompt-engineering
- gpt3
TranslatedA beginner's bible for AI that doesn't play at being obscure or cater to a niche few, easy to grasp for everyone from students to engineers. It covers neural networks to large models, top-level design to micro-level principles, and engineering implementation to algorithm fundamentals. After studying it, you will thoroughly understand why the seemingly unremarkable ability of next-token prediction can change the world, and you will also discover that AI is not as mysterious or as unattainable as imagined. Let's just beat it !
- ai
- engineering
- llm
- neural-network
Build desktop apps built with Python. Examples for PyQt6, PySide6, Flet, DearPyGUI, Kivy, NiceGUI, Streamlit, Tkinter, PyQt5 & PySide2
- python
- python3
- pyqt
- pyqt5
TranslatedOpenClaw Chinese tutorial (4,500+ Stars · printed book published): installation, configuration, Skills, Feishu integration, and pitfalls to avoid | For the author's new GPT-6 / Codex / Claude Code projects, see the top of the README
- openclaw
- openclaw-skills
- agent-skills
- ai-agent
A simple (99% ES2015 less) tutorial for React
Translated:honeybee: IoT Technical Guide --- Building a high-performance IoT platform and IoT solutions from scratch, and source code analysis of Thingsboard :sparkles: :sparkles: :sparkles: (IoT Platform, SaaS, MQTT, CoAP, HTTP, Modbus, OPC, WebSocket, Thing Model, Protobuf, PostgreSQL, MongoDB, Spring Security, OAuth2, RuleEngine, Kafka, Docker)
Full Stack Web Development with Flask.
Translated[Full text] How to learn Node.js correctly
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
- artificial-intelligence
- generative-ai
- kubernetes
- kustomize
TensorFlow Basic Tutorial Labs
- tensorflow
- keras
- mxnet
- pytorch