Projects sharing features with Ml Course Hse

jswiki is a JavaScript documentation wiki and web development knowledge base. It serves as a structured repository of technical guides and references focused on JavaScript, HTML5, and WebGL development. The project functions as a markdown static site generator that converts markdown files into pre-rendered HTML pages. It provides specialized technical references for implementing modern web layouts and high-performance hardware-accelerated 2D and 3D graphics. The system incorporates static site generation, markdown content authoring, and asset-based resource bundling. It utilizes client-side

This project is an algorithm learning platform and computer science educational resource. It serves as a technical interview study guide, providing structured lessons on data structures and sorting methods. The site is a markdown-based static site that converts technical documentation and algorithmic explanations into static HTML pages. It functions as a system for markdown content publishing to deliver educational material. The platform covers algorithm complexity analysis, problem solving workflows, and general computer science education. It utilizes a component-based UI structure with fil

English-note is a structured English grammar course and learning resource designed to teach sentence structure and parts of speech. It serves as a language learning guide for students to understand the fundamental rules of the English language. The project is implemented as a markdown-based educational site that utilizes static site generation to convert pre-defined text files into optimized HTML pages. It features a responsive layout that adjusts to different screen sizes and devices. The resource supports self-paced language study and English language acquisition through a collection of le

golang101 is a comprehensive Go programming knowledge base and technical reference library. It provides structured guides and documentation covering Go syntax, runtime behavior, and idiomatic coding patterns. The project serves as a dedicated guide for performance optimization, offering technical strategies to reduce memory allocations, improve garbage collection, and increase execution speed. It also focuses on the Go type system, including generic programming and concurrent synchronization techniques. The library encompasses broader capabilities for language learning, including the study o

interviews.ai is a technical study resource and educational book designed for machine learning engineering roles. It serves as a comprehensive guide for mastering theoretical and practical fundamentals, specifically providing a collection of solved interview questions and answers focused on artificial intelligence and deep learning. The project covers core AI curriculum including information theory, Bayesian statistics, and neural network architectures. It provides instructional content and solved technical exercises to assist with deep learning interview preparation and machine learning exam

This project is a machine learning educational curriculum and learning platform delivered through interactive Jupyter Notebooks. It serves as a comprehensive guide for mastering the Python data science toolkit, providing structured tutorials for numerical computing, tabular data manipulation, and statistical visualization. The curriculum includes specific implementation guides for Scikit-Learn and a practical course on TensorFlow for constructing, training, and deploying neural networks and computer vision models. It covers the end-to-end process of building predictive models, from initial pr

This project is a machine learning curriculum and data science educational resource. It provides a structured set of instructional materials and hands-on projects designed for learning machine learning concepts and the implementation of predictive models. The resource functions as a training guide for supervised learning, focusing on the development of models for image classification and digit recognition. It uses a project-based training approach that pairs theoretical lessons with dataset-driven model training and evaluation. The curriculum covers the mathematical foundations of machine le

This repository provides a comprehensive educational framework for mastering machine learning and deep learning through a structured curriculum. It integrates theoretical mathematical foundations—including calculus, probability, and linear algebra—with hands-on laboratory implementations that require learners to build algorithms and neural network architectures from scratch. The project distinguishes itself by emphasizing first-principles development, ensuring that students understand the underlying mechanics of backpropagation, layer-wise computation, and model optimization. It covers a broa

This project is a comprehensive study kit and resource archive for the Structure and Interpretation of Computer Programs (SICP) course. It serves as a curated learning path for studying functional programming and the fundamentals of program construction, providing a centralized directory of textbooks, tutorials, and instructional materials. A primary focus of the repository is multilingual accessibility, specifically providing Chinese translations of English lecture subtitles and transcripts. These translated resources are mirrored across multiple video hosting platforms and cloud storage pro

NYU-DLSP20 is a self-paced deep learning course repository that provides a complete educational curriculum covering supervised and unsupervised deep learning fundamentals. The course materials include lecture slides, Jupyter notebooks, and YouTube video recordings, all organized around PyTorch-based code exercises and neural network architecture tutorials. The course is structured as a sequential progression from fundamentals to advanced architectures, with each lecture building on previous material. Assignments are distributed as Jupyter notebooks that students complete and submit, ensuring

This repository provides a comprehensive academic curriculum for machine learning and artificial intelligence. It serves as a structured educational framework, offering a collection of lecture materials and practical exercises designed to guide learners through the fundamental concepts and mathematical foundations of statistical modeling. The curriculum is delivered through interactive notebooks that combine explanatory text with executable code, allowing for real-time experimentation with algorithms. The content is organized into a modular hierarchy that separates theoretical instruction fro

This project is a structured learning curriculum and technical reference for mastering deep learning with TensorFlow. It provides a comprehensive guide for building, training, and deploying neural networks, combining theoretical fundamentals with practical implementation examples. The repository distinguishes itself by covering the end-to-end machine learning workflow, from low-level tensor mathematics and linear algebra to the creation of complex model architectures. It includes specific guidance on developing data pipelines for diverse data types, such as images, text, and time-series seque

This project is a comprehensive educational framework designed to teach the design, deployment, and performance optimization of machine learning systems. It provides a structured curriculum that covers the full stack of artificial intelligence engineering, ranging from the construction of core framework components like tensors and automatic differentiation engines to the orchestration of large-scale distributed training clusters. The platform distinguishes itself through its integration of physics-grounded systems modeling and interactive simulation environments. Users can experiment with dis

This project serves as a centralized platform for the delivery of a structured machine learning curriculum. It provides a framework for distributing academic materials, including lecture notes, lab exercises, and code templates, while facilitating instruction on methodologies ranging from fundamental techniques to advanced topics like neural networks and unsupervised learning. The platform distinguishes itself by integrating collaborative research management directly into the educational workflow. It organizes students into teams to apply machine learning techniques to real-world scientific d

This project is a framework for building static websites using the Hugo static site generator. It functions as a Markdown-based content management system and a page builder that utilizes Tailwind CSS to assemble modular utility-first blocks into final web pages. The system features specialized capabilities for creating academic portfolios, including a framework to import BibTeX publications and manage scholarly resumes. It also includes an AI website generator that produces deployable Markdown structures and content based on natural language descriptions. The platform covers a broad range of

This project is an algorithm courseware repository and academic resource portal. It serves as a digital archive for algorithm textbooks, providing access to complete manuscripts, individual chapters, and educational materials focused on computer science fundamentals and algorithm design. The repository includes a dedicated errata tracking system to record publication errors and corrections. This system allows for the monitoring of updates made to the academic texts since their official release to ensure the accuracy of the information. The platform distributes a variety of supplemental cours

This repository is a technical documentation site and a collection of guides and references for implementing networking, security, and cloud infrastructure services. It functions as a static-site generated portal and a headless content platform, separating source files from the presentation layer to enable flexible rendering. The project utilizes markdown-based documentation stored in a version-controlled Git repository. It provides specialized technical content including an AI platform documentation for building agents and managing inference, a cloud infrastructure guide for DNS and CDN conf

LLMBook-zh.github.io is a static educational website that provides a self-paced curriculum for learning large language model fundamentals. The site offers structured courseware and downloadable PDF slide decks covering LLM architecture, training, alignment, and deployment. The course materials include dedicated sections on fine-tuning pre-trained language models, model alignment techniques, and prompt engineering strategies. All content is managed as Markdown files and compiled into a static site hosted on GitHub Pages, with an embedded PDF viewer for inline slide display and a custom 404 err

This project is a documentation site for an AI coding assistant, providing technical guides and reference materials for writing and implementing software code. It is built as a markdown-based static site that delivers pre-rendered HTML for fast loading and simplified content authoring. The platform functions as a version-controlled documentation site, using a git repository to track content revisions and manage historical archives. It includes a client-side search index that loads a pre-computed JSON file into the browser to provide instant full-text search results. The content covers AI pai

cheats.rs is a Rust syntax reference and technical documentation resource provided as a static site. It serves as a curated collection of examples and patterns designed to assist with Rust language learning. The project covers a wide range of language constructs, including memory management, the use of generics, and the implementation of asynchronous logic. It provides guidance on defining data structures, managing memory references, and organizing code modules. Additional coverage includes patterns for control flow, pattern matching, and the use of macros, as well as instructions for perfor

Starlight is a documentation framework built on Astro for generating fast, searchable static websites. It functions as a markdown documentation engine that converts markup files into accessible pages using a file-based routing system. The framework allows for the embedding of custom UI components from various frontend frameworks directly into documentation layouts. This enables the creation of interactive guides and specialized user experiences within a static site structure. The system includes integrated navigation and search engine optimization, as well as schema-based frontmatter validat

This project contains the official technical manuals and guides for the Godot game engine. It serves as a multi-language technical manual delivered as searchable HTML and ePub documentation for both online and offline use. The repository implements an open source documentation workflow for managing collaborative technical content. It utilizes a localization-aware build pipeline to translate and maintain manuals across multiple international locales. The project employs a custom static site generation process that transforms markdown-based source files into structured HTML and ePub formats. T

This project is a community-driven academic resource repository that serves as a collaborative knowledge base for students. It functions as an open-source educational archive, providing a centralized collection of student-contributed study materials, lecture notes, and exam resources organized by academic subject. The platform distinguishes itself by utilizing a structured directory index that allows users to navigate and locate standardized educational documents efficiently. By leveraging version control systems and plain-text authoring, the repository facilitates community contributions whi

This project is a machine learning knowledge map and educational resource that provides a structured learning path for data science. It organizes core concepts, from basic data analysis to deep learning, into a visual guide and markdown-based knowledge graph. The resource connects theoretical foundations and mathematical concepts to practical execution through links to runnable notebooks and implementation examples. This allows for a transition from conceptual study to hands-on practice. The project uses hierarchical node organization and modular topic decomposition to visualize relationship

This project is an open-source educational curriculum designed to provide a structured path for developers to master machine learning and generative AI. It functions as a technical skill development platform, offering comprehensive study materials that guide learners through fundamental concepts, algorithms, and the practical implementation of artificial intelligence models from scratch. The curriculum distinguishes itself through a pedagogy centered on interactive Jupyter Notebooks, which allow students to execute code cells directly within narrative documents for immediate visual feedback.

This is the public documentation repository for Docker, serving as the source of truth for technical guides, API references, and manuals. It functions as a structured technical documentation site designed to help users install and operate containerized environments. The project operates as a community-driven knowledge base. Users contribute technical corrections and new content through a public version control workflow, utilizing a system of pull requests to maintain and improve the documentation. The content covers a wide range of containerization materials, including a learning path for de

This project is a Chinese translation of a comprehensive educational resource for implementing machine learning. It serves as a technical guide for developing machine learning models, providing translated documentation and practical tutorials. The resource focuses specifically on the implementation of machine learning using Scikit-Learn and TensorFlow. It provides guides for building traditional machine learning models as well as developing deep learning neural networks. The content covers the end-to-end machine learning workflow, including data preparation, model training, and evaluation. E