Projects sharing features with LLM101n

LangGPT: Empowering everyone to become a prompt expert! 🚀 📌 结构化提示词（Structured Prompt）提出者 📌 元提示词（Meta-Prompt）发起者 📌 最流行的提示词落地范式 | Language of GPT The pioneering framework for structured & meta-prompt design 10,000+ ⭐ | Battle-tested by thousands of users worldwide Created by 云中江树

This project is a collaborative academic repository designed for the synthesis of research papers and the study of machine learning architectures. It functions as a technical knowledge base, providing curated reading paths and annotated summaries to help students and practitioners master complex topics in artificial intelligence, computer vision, and natural language processing. The repository utilizes a static site generation model to transform structured text files into a navigable documentation site. Content is organized through hierarchical directory routing, which maps the repository's f

This repository serves as a structured educational resource for machine learning and deep learning, providing a library of executable scripts and notebooks. It is designed to help users master the practical application of data processing, model evaluation, and neural network construction through annotated code samples and guided tutorials. The collection focuses on translating theoretical mathematical concepts into functional code, offering proven patterns for common tasks such as classification and regression. By providing curated examples of layer construction and training loops, the reposi

This project is a structured educational curriculum designed to guide developers through the fundamentals of machine learning. It functions as a technical skill builder, offering a curated roadmap of progressive coding challenges that cover core algorithms, statistical concepts, and essential data science libraries. The repository distinguishes itself through an iterative sequencing of content, organizing complex technical topics into a daily progression that facilitates incremental mastery. It integrates third-party academic lectures and educational resources to provide necessary theoretical

This project is a collection of educational examples and code for implementing deep learning architectures using the PyTorch framework. It serves as a tutorial and implementation guide for building various neural network architectures for machine learning tasks. The project provides practical implementations for computer vision, including image classification and neural style transfer, as well as natural language processing examples for building sequence models and language predictors. It also covers generative models using adversarial and variational networks to synthesize or transform visua

This project is a comprehensive machine learning educational resource and tutorial series delivered as a collection of interactive Jupyter Notebooks. It provides practical Python implementations for the end-to-end machine learning lifecycle, covering supervised and unsupervised learning, deep learning, and reinforcement learning. The resource distinguishes itself by providing detailed implementation guides for complex architectures, including transformers, generative adversarial networks, and convolutional neural networks. It also features specialized courseware for developing reinforcement l

A curated list of delightful Embedded Systems libraries, RTOSes, modules, references and more!

A curated list of awesome iOS chart libraries, including Objective-C and Swift

A curated list of awesome curated lists of many topics.

This project is a curated knowledge repository that serves as a comprehensive reference guide for web development. It organizes high-quality resources, documentation, and technical links into a structured collection designed to assist developers in navigating the frontend ecosystem and staying updated with evolving industry standards. The repository utilizes a directory-based information architecture, categorizing complex technical topics into nested folders to ensure predictable navigation. By leveraging a git-versioned knowledge base, the project maintains a complete historical audit trail

A collection of amazing gists

Platforms, tools, and guides for critical organizers 🌆

Curated list of 20,000+ hours and 200+ free courses with certificates in IT, CS, Design and Business.

awesome typescript open source projects, includes IDE, Framework, Library, Tool

Awesome OCR

A showcase of awesome programming language projects and resources written in Elm.

:fire: Learn some Swift

An awesome list of resources for specific science, technology, engineering, art, and math (STEAM) classes that students and teachers can use to supplement their learning

:computer: :coffee: List of Awesome Hacking Locations, organised by Country and City, listing if it features power and wifi

Style guides for Google-originated open-source projects

A curated list of speech and natural language processing resources

A collection of awesome TypeScript resources for client-side and server-side development. Write your awesome JavaScript in TypeScript

This project is a comprehensive, community-driven directory of machine learning resources, software libraries, and educational materials. It serves as a centralized knowledge base for developers and researchers, organizing tools and frameworks by their primary programming language and technical domain to simplify discovery across the artificial intelligence ecosystem. The collection distinguishes itself by providing a cross-language development index that spans diverse programming environments, including C, C++, Rust, Clojure, and Python. It covers a wide range of specialized capabilities, fr

This project is a comprehensive directory of open-source iOS applications designed to serve as a technical reference for developers and learners. It functions as a curated index of mobile software, categorizing projects by their functionality, implementation language, and architectural design to provide a clear view of how professional applications are structured. The repository distinguishes itself by offering a deep dive into mobile app architecture, allowing users to study real-world codebases that utilize patterns such as Model-View-ViewModel, VIPER, and Clean Architecture. It highlights