Sign in

Repository Index

60,121 visible repositories in the index

Tags: Tutorial
Tags

A repository shows when it has any selected Tag.

Clear Tags
Filters

Filters

Clear all filters

73–96 of 187 · Most stars

Translated【🔞🔞🔞 Contains images not suitable for minors】AI exploration and summary based on my strengths in programming, drawing, and writing: StableDiffusion is a powerful image generation model that can generate new images by evolving an existing image. ChatGPT is a Transformer-based language generation model that can automatically generate suitable articles for an input topic. And Github Copilot is an intelligent programming assistant that can speed up everyday programming activities.

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

TranslatedHow to deploy a PaaS/DevOps (a complete software development and deployment platform) based on K8s (Kubernetes) -- tutorial/learning (hands-on code/architecture design/extensive comments/illustrated operation steps). You will learn to deploy things such as: K8S (Kubernetes), Dashboard, Harbor, Jenkins, local Gitlab, the Apollo framework, Promtheus, Grafana, Spinnaker, etc.

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 !

TranslatedThe GitHub of Xinchen (欣宸), a CSDN blog expert programmer. It has detailed categories and summaries of more than 600 original articles, along with the corresponding source code, covering Java, Docker, Kubernetes, DevOps and more