DevOps Guide - Development to Production all configurations with basic notes to debug efficiently.
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Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
A collection of machine learning examples and tutorials.
TensorFlow tutorials and best practices.
A resource for learning about Machine learning & Deep Learning
- pytorch
- pytorch-implementation
- pytorch-tutorial
- pytorch-gan
The repository host gives no description.
- burst
- multicore-processors
- ecs
- entity
TranslatedIllustrated React source code: using a large number of diagrams, dedicated to explaining React's principles clearly.
A very simple toon lit shader example, for you to learn writing custom lit shader in Unity URP
- outline
- character
- urp
- shader
TranslatedLarge language model knowledge sharing that everyone can understand, a must-read before LLM spring/autumn recruitment interviews, so you can talk confidently with interviewers
- llm
- interview-questions
- interview-practice
- agent
Collection of notebooks about quantitative finance, with interactive python code.
- quantitative-finance
- jupyter-notebooks
- kalman-filter
- option-pricing
Toturials coming with the "data science roadmap" picture.
Collection of methodology and test case for various web vulnerabilities.
- vulnerability
- tutorials
- bughunting-methodology
- bugbounty
The most impressive websites in the world use 3D graphics and animations to bring their content to life. Learn how to build your own ThreeJS 3D Developer Portfolio today!
Deploying a React App (created using create-react-app) to GitHub Pages
- react
- create-react-app
- deployment
- gh-pages
TranslatedAI in Practice - practicalAI, Chinese version
- machine-learning
- jupyter-notebook
- pytorch
- google-colab-notebook
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
A DIY guide to build your own React
- react
- javascript
- diy-guide
- react-internals
Entire React code base explanation by visual block schemes (Stack version)
Go DDD example application. Complete project to show how to apply DDD, Clean Architecture, and CQRS by practical refactoring.
- go
- golang
- ddd
- clean-architecture
The most comprehensive Claude Code guide: agentic workflows, hooks, skills, MCP servers, quizzes, and production-ready templates. 430K+ lines.
- agentic-coding
- ai-assistant
- ai-coding
- ai-pair-programming
The project source code for Hacking with iOS.
SpringBoot 相关漏洞学习资料，利用方法和技巧合集，黑盒安全评估 check list
- springboot
- springboot-actuator-rce
- rce
- spring-boot-vulnerability
My understanding of Unreal Engine 5's GameplayAbilitySystem plugin with a simple multiplayer sample project.
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.