In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
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🤪 A list of funny and tricky JavaScript examples
- javascript
- specification
- handbook
- notes
A playbook for systematically maximizing the performance of deep learning models.
llama3 implementation one matrix multiplication at a time
TranslatedWTF Solidity minimalist introductory tutorial, for beginners. Now supports English! Official website: https://wtf.academy
- airdrop
- auction
- blockchain
- dapp
A Compiler Writing Journey
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
- pytorch
- pytorch-tutorials
- pytorch-tutorials-cn
- deep-learning
Pocket Flow: Codebase to Tutorial
This guide details creating a secure Linux production system. OpenSCAP (C2S/CIS, STIG).
Tutorial de como usar o Git e Github na prática
How to systematically secure anything: a repository about security engineering
- security-engineering
- security-architecture
- secure-systems
- threat-modeling
Install Jenkins, configure Docker as slave, set up cicd, deploy applications to k8s using Argo CD in GitOps way.
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
WebGoat is a deliberately insecure application
This repository has examples of broken patterns in ASP.NET Core applications
TranslatedBuild your neural network easy and fast, 莫烦Python (Morvan Python) Chinese teaching
- neural-network
- python
- pytorch-tutorial
- batch-normalization
Collection of notebooks about quantitative finance, with interactive python code.
- quantitative-finance
- jupyter-notebooks
- kalman-filter
- option-pricing
TranslatedA tutorial and implement of disease centered Medical knowledge graph and qa system based on it. Knowledge graph construction, automatic question answering, KG-based automatic question answering. A medium-scale medical-domain knowledge graph centered on diseases, which is used to provide automatic question answering and analysis services.
TranslatedAI in Practice - practicalAI, Chinese version
- machine-learning
- jupyter-notebook
- pytorch
- google-colab-notebook
Kubernetes application example tutorials
Go DDD example application. Complete project to show how to apply DDD, Clean Architecture, and CQRS by practical refactoring.
- go
- golang
- ddd
- clean-architecture
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.
🚀 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