An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
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📖 Unofficial WireGuard Documentation: Setup, Usage, Configuration, and full example setups for VPNs supporting both servers & roaming clients.
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
A bare metal programming guide (ARM microcontrollers)
- baremetal
- gcc
- make
- stm32
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
TranslatedThis is a step-by-step guide to getting started with AI/LLM large models, including tutorials and demo code, taking you from APIs to local large model deployment and fine-tuning. The code files come with Kaggle or Colab online versions, so you can learn even without a graphics card. The project also has a small code playground 🎡 where you can try out some interesting AI scripts. It also includes complete Chinese mirror assignments for Hung-Yi Lee's (HUNG-YI LEE) 2024 Introduction to Generative AI course.
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
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TranslatedLearn Shiro with me (my official account: kaitao-1234567, my new book: 《Core Technologies of Architecture for Websites with Hundreds of Millions of Traffic》)
- shiro
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
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
A guide to writing a DNS Server from scratch in Rust
TranslatedA collection of hands-on Spring Boot series tutorials
- java
- spring-boot
- springboot
- springframework
Build desktop apps built with Python. Examples for PyQt6, PySide6, Flet, DearPyGUI, Kivy, NiceGUI, Streamlit, Tkinter, PyQt5 & PySide2
- python
- python3
- pyqt
- pyqt5
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
TranslatedPython web crawler tutorial that takes you from zero to one, covering JS reverse engineering, Selenium, Tesseract OCR recognition, the use of MongoDB, and the Scrapy framework
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)
OCD's Guide to Setting up Mac
Translated[Full text] How to learn Node.js correctly
:earth_americas: Simple and ready-to-use tutorials for TensorFlow