Search Results for "structure" - Page 23
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Showing 2916 open source projects for "structure"
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Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Bulletproof React
A simple, scalable, and powerful architecture for building production
Bulletproof React is a best-practice template and architectural guideline for building scalable, maintainable, and production-ready React applications. It provides a well-structured project setup that emphasizes separation of concerns, modular design, and consistent coding standards. The project incorporates modern development patterns, including state management strategies, API integration, and testing frameworks, ensuring that applications are robust and easy to maintain. It also includes... -
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Hacking with Swift
The project source code for Hacking with iOS
HackingWithSwift is an extensive open-source repository that accompanies a popular tutorial series focused on teaching Swift programming for iOS development. It contains a large collection of example projects, exercises, and complete applications that guide learners from beginner to advanced levels. The repository is structured into different learning tracks, including UIKit-based development and modern SwiftUI approaches, allowing developers to explore multiple paradigms within the Apple... -
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AI-Crawler
Crawl a website starting from a URL, find relevant pages
...Unlike traditional web scrapers that rely on static selectors and manual scripting, it uses AI to dynamically identify and prioritize pages based on user intent, making it more flexible and resilient to changes in website structure. Users can define their data requirements in plain English, and the system will interpret those instructions to crawl a domain and extract structured data. The tool supports output formats such as JSON and Markdown, and it can generate or accept schemas to ensure that extracted data is structured according to application needs. ... -
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RL with PyTorch
Clean, Robust, and Unified PyTorch implementation
RL with PyTorch is a research-oriented repository that provides implementations of deep reinforcement learning algorithms using the PyTorch framework. The project focuses on helping developers and researchers understand reinforcement learning methods by providing clean and reproducible implementations of well-known algorithms. It includes code for popular deep reinforcement learning techniques such as Deep Q-Networks, policy gradient methods, actor-critic architectures, and other modern RL... -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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course.fast.ai
The fast.ai course notebooks
course22 is the official repository containing the notebooks, slides, and supporting materials for the 2022 edition of the fast.ai course Practical Deep Learning for Coders. The repository serves as the core educational resource for the course, providing learners with hands-on exercises and coding tutorials that accompany each lecture. The project emphasizes learning deep learning through experimentation rather than purely theoretical study, encouraging students to build models and analyze... -
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i.am.ai
Roadmap to becoming an Artificial Intelligence Expert in 2022
i.am.ai is a structured educational guide that maps out the knowledge areas and technologies required to become an artificial intelligence or machine learning expert. The project presents visual charts that outline multiple career paths such as data scientist, machine learning engineer, and AI specialist, helping learners understand what to study and in what order. It was originally created to train internal employees but was released publicly to support the broader community. The roadmap... -
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Dnote
A simple command line notebook
...With structured tagging and hierarchical organization, Dnote encourages users to categorize entries in ways that align with their own thinking rather than forcing a rigid notebook structure. Its search is optimized to handle large collections of notes, allowing users to find relevant information instantly, which makes it especially helpful for developers, engineers, and power users who accumulate practical knowledge over time. -
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PRML
PRML algorithms implemented in Python
...Rather than just summarizing concepts, the repository includes working code that demonstrates linear regression and classification, kernel methods, neural networks, graphical models, mixture models with EM algorithms, approximate inference, and sequential data methods — all following the book’s structure and notation. Many of these algorithms are paired with Jupyter notebooks that let users interact with the code, visualize results, and experiment with parameters in a way that deeply strengthens theoretical understanding. -
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Claude Code PM
Project management system for Claude Code using GitHub Issues
Claude Code PM is an open-source project management system designed to structure AI-assisted software development workflows using Claude Code’s command interface combined with native GitHub issues and Git worktrees. Instead of relying on separate project management tools, CCPM uses GitHub issues as the single source of truth, helping teams turn product requirements documents into trackable tasks and epics with full traceability throughout the development lifecycle. -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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SCAIL
Towards Studio-Grade Character Animation via In-Context Learning of 3D
...Given its listing alongside other ZAI projects like speech recognition and text-to-speech systems, SCAIL likely emphasizes scalable, composable AI learning frameworks that support researchers and practitioners in experimenting with learning algorithms, datasets, and model components. The repository structure suggests a focus on flexibility and extensibility, with potential integration into other ZAI tooling for training or analysis. -
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SimpleLLM
950 line, minimal, extensible LLM inference engine built from scratch
...Designed to run efficiently on high-end GPUs like NVIDIA H100 with support for models such as OpenAI/gpt-oss-120b, Simple-LLM implements continuous batching and event-driven inference loops to maximize hardware utilization and throughput. Its straightforward code structure allows anyone experimenting with custom kernels, new batching strategies, or inference optimizations to trace execution from input to output with minimal cognitive overhead. -
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Flask-Migrate
SQLAlchemy database migrations for Flask applications using Alembic
...It provides a set of command-line routines tied into Flask’s CLI such that developers can generate migration scripts, apply upgrades, and roll back changes with simple commands, keeping the database structure in sync with evolving application models. The extension handles versioning of the database schema so teams can track and share structural changes alongside application code, reducing manual migration errors and enabling collaborative development. Flask-Migrate also supports branching and merging workflows by generating human-readable migration scripts that developers can review, edit, and commit to version control. -
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AI-Job-Notes
AI algorithm position job search strategy
...The emphasis is on doing: practicing with project ideas, setting up reproducible experiments, and showcasing results that convey impact. It ties technical study (ML/DL fundamentals) to real hiring signals like problem-solving, code quality, and experiment logging. The repository’s structure encourages progressive preparation—from fundamentals to mock interviews and post-interview retrospectives. It’s designed to reduce uncertainty and decision fatigue during the often lengthy job-hunt cycle. -
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Marksheet
Free tutorial to learn HTML and CSS
...It includes diagrams and compact examples that illustrate concepts without burying readers in boilerplate. The material emphasizes progressive mastery, encouraging learners to build small pages and refine them with better structure and style. It’s a useful reference to revisit after your first projects, reinforcing fundamentals that make larger frameworks easier to learn later. -
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Software Design in Haskell
Software Design in Haskell
...Throughout, the code illustrates dependency inversion in Haskell, showing how to swap implementations without pervasive rewrites. The result is a cookbook of strategies and runnable examples that help teams structure real-world Haskell applications beyond small scripts or academic exercises. -
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...Learners are encouraged to use documentation and external resources freely, reflecting real-world workflows rather than rote memorization. Each exercise focuses on practical styling problems, from selectors and specificity to layout techniques like flexbox, grid, and responsive design. The structure supports incremental learning, allowing you to test your understanding, compare against expected outcomes, and iterate until styles match the intended result. While solutions exist, the guidance emphasizes problem solving with docs, search, and experimentation before peeking, cultivating independent debugging skills and confidence with CSS.
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Integrant
Micro-framework for data-driven architecture
...In Component, systems are created programmatically. Constructor functions are used to build records, which are then assembled into systems. In Integrant, systems are created from a configuration data structure, typically loaded from an edn resource. The architecture of the application is defined through data, rather than code. -
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Generative AI Examples
Generative AI Examples is a collection of GenAI examples
...Detailed framework of composable building blocks for state-of-the-art generative AI systems including LLMs, data stores, and prompt engines. Architectural blueprints of retrieval-augmented generative AI component stack structure and end-to-end workflows. A four-step assessment for grading generative AI systems around performance, features, trustworthiness and enterprise-grade readiness. -
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Metalsmith
An extremely simple, pluggable static site generator for Node.js
...Metalsmith translates a directory tree to plain Javascript objects that you can manipulate effortlessly with your selection of plugins. You shouldn't have to bend your project needs to a specific framework or tool. Metalsmith gives you full control of how you want to conceptualize, structure, and build your project. Use Metalsmith to generate anything from a static site to a scaffolder, backup, command line, or deploy tool. Configuration over code or code over configuration: Metalsmith supports both. -
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remotefs
A client library to work with all file transfer protocols
remotefs is a library that provides a file system structure to work with all the most popular file transfer protocols. This is achieved through a trait called RemoteFs which exposes methods to operate on the remote file system. Currently, the library exposes a client for Sftp, Scp, Ftp and Aws-s3 as external libraries. You might be wondering, "why remotefs?" The first and foremost reason is to provide a generic interface over multiple protocols. -
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Pachyderm
Data-Centric Pipelines and Data Versioning
...Runs across all major cloud providers and on-premises installations. Automatic and intelligent versioning of even the largest data sets of unstructured and structured data. Git-like structure enables effective team collaboration. Full versioning for metadata including all analysis, parameters, artifacts, models, and intermediate results. Automatically produces an immutable record for all activities and assets. Pachyderm is used across a variety of industries and use cases. Pachyderm provides a powerful solution to optimize data processing, MLOps, and ML Lifecycles. -
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Hugo Book Theme
Hugo documentation theme as simple as plain book
Hugo documentation theme as simple as a plain book. By default, the theme will render pages from the content/docs section as a menu in a tree structure. You can set title and weight in the front matter of pages to adjust the order and titles in the menu. There are a few configuration options that you can add to your config.toml file. A simple blog is supported in the section posts. A blog is not the primary use case of this theme, so it has only minimal features. The theme supports Hugo's multilingual mode, just follow the configuration guide there. ... -
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xrpl.js
A JavaScript/TypeScript API for interacting with the XRP Ledger
It’s fast, energy-efficient, and reliable. With ease of development, low transaction costs, and a knowledgeable community, it provides developers with a strong open-source foundation for executing on the most demanding projects, without hurting the environment. Open source, open to anyone to build on, maintained by the community. Tools and documentation that speed development and reduce time to market. Capable of settling thousands of transactions in seconds. At fractions of a penny per... -
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Ansible-lint
Best practices checker for Ansible
Ansible Lint is a command-line tool for linting playbooks, roles and collections aimed towards any Ansible users. Its main goal is to promote proven practices, patterns and behaviors while avoiding common pitfalls that can easily lead to bugs or make code harder to maintain. Ansible lint is also supposed to help users upgrade their code to work with newer versions of Ansible. Due to this reason we recommend using it with the newest version of Ansible, even if the version used in production... -
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VT Code
VT Code - semantic AI coding agent
...It is implemented in Rust and focuses on performance, portability, and deep integration with developer workflows that rely on terminal tools. The system leverages syntax-aware parsing technologies such as tree-sitter and AST-based analysis to understand code structure rather than relying solely on raw text, which enables more accurate and context-aware suggestions. VTCode operates as an agent rather than a simple autocomplete tool, meaning it can interpret user intent, navigate codebases, and assist with multi-step tasks. It is highly configurable, allowing developers to define behavior, prompts, and workflows tailored to their projects. ...
