😱 Falsehoods Programmers Believe in
- falsehoods
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Repository Index
47,133 repositories indexed
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Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
A curated collection of fun and creative examples generated with Nano Banana & Nano Banana Pro🍌, Gemini-2.5-flash-image based model. We also release Nano-consistent-150K openly to support the community's development of image generation and unified models(click to website to see our blog)
- awesome
- gemini-2-5-flash-image
- nano-banana
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
TranslatedThe pytorch handbook is an open-source book that aims to help friends who want to use PyTorch for deep learning development and research get started quickly. All of the PyTorch tutorials it contains have been tested to ensure they run successfully.
- pytorch
- pytorch-tutorials
- pytorch-handbook
- deep-learning
This repository contains a 90-day cybersecurity study plan, along with resources and materials for learning various cybersecurity concepts and technologies. The plan is organized into daily tasks, covering topics such as Network+, Security+, Linux, Python, Traffic Analysis, Git, ELK, AWS, Azure, and Hacking. The repository also includes a `LEARN.md
- cybersecurity
- ethical-hacking
- communityexchange
- learn
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
A quick example of how one can "synchronize" a 3d scene across multiple windows using three.js and localStorage
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
machine learning and deep learning tutorials, articles and other resources
- deep-learning-tutorial
- machine-learning
- machinelearning
- deeplearning
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
💿 Free software that works great, and also happens to be open-source Python.
A collection of ZSH frameworks, plugins, themes and tutorials.
- collection
- awesome-list
- zsh-theme
- zsh-completions
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
- csharp
- java
- javascript
- mcp
A curated list of awesome Hacking tutorials, tools and resources
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Pragmatic, balanced FP in JavaScript. @FLJSBook on twitter.
- book
- javascript
- functional-programming
- training-materials
Translated:closed_book: "Node.js 包教不包会" (Node.js: Taught, Not Guaranteed to Be Learned) by alsotang
- javascript
- nodejs
:satellite: Simple and ready-to-use tutorials for TensorFlow
- tensorflow
- python
- deep-learning
- deep-learning-tutorial
Learning Vim and Vimscript doesn't have to be hard. This is the guide that you're looking for 📖
:books: Learn to write an embedded OS in Rust :crab:
- rust
- bare-metal
- raspberry-pi-3
- rpi3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.