Claude Code guide in three levels, Beginner to Advanced: hands-on lessons with checked exercises, every volatile fact cited to its source. Independent community guide.
- agent-skills
- agentic-coding
- ai-agents
- anthropic
Repository Index
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The content behind Elixir School, the premier destination for people seeking to learn and master the Elixir programming language.
- learning
- elixir
- programming
- educational
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
- python-tutorials
- python3
- advanced-python
- data-science
Learning assembly for Linux x86_64
- assembly
- linux
- x86-64
🚀🧨📝 Series of Tutorials to learn about Jetpack Compose with subjects Material Widgets, Layout, SubcomposeLayout, custom layouts, State, custom rememberable, recomposition, LaunchedEffect, side-effects, Gesture, Animation, Navigation, Canvas, UIs like whatsapp and others.
- android
- jetpack-compose
- jetpack-compose-tutorial
- jetpack-compose-navigation
Clear examples, explanations, and resources for RxJS
- rxjs
- javascript
- reactive-programming
- observables
The repository host gives no description.
- ai-agent
- learning-notes
- pi-agent
- python
快速上手AI理论及应用实战：基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集，力求每一位能看懂并复现。
Netty learning.
:earth_americas: machine learning tutorials (mainly in Python3)
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
- machine-learning
- deep-learning
- lstm
- human-activity-recognition
A collection of out-of-tree LLVM passes for teaching and learning
- llvm-pass
- llvm-tutor
- llvm-ir
- llvm-tutorial
Laravel 5 系列入门教程
- laravel
- php
0 - 1 learn OpenClaw: sections to build an claw-AI agent from scratch
:fire: Machine Learning Notebooks
- deep-learning
- machine-learning
- python
- pytorch
This repository is a curated collection of hands-on data science projects tailored for beginners. Whether you're just starting your journey in data science or looking to strengthen your skills, these projects provide a practical and interactive way to apply your knowledge.
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
learning cmake
- cmake
- cpp
- c
- makefile
📚 Jupyter notebook tutorials for OpenVINO™
- deep-learning
- machine-learning
- computer-vision
- openvino
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
- deep-learning
- tutorials
- uvadlc
- pytorch
:email: An Example of using an HTML form (e.g: "Contact Us" on a website) to send Email without a Backend Server (using a Google Script) perfect for static websites that need to collect data.
- html-form
- google-spreadsheet
- no-server
Repo for learning observability
Android OpenGL ES 3.0 从入门到精通系统性学习教程 ( OpenGL ES 3.X Systematic Learning Tutorials)
- opengles
- ndk-opengles3
- android
- learn-opengles
Node.js Backend Architecture Typescript - Learn to build a backend server for production ready blogging platform like Medium and FreeCodeCamp. Main Features: Role based, Express.js, Mongoose, Redis, Mongodb, Joi, Docker, JWT, Unit Tests, Integration Tests.