Search Results for "data structure" - Page 9
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Showing 890 open source projects for "data structure"
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Learn AI Engineering
Learn AI and LLMs from scratch using free resources
Learn AI Engineering is a learning path for AI engineering that consolidates high-quality, free resources across the full stack: math, Python foundations, machine learning, deep learning, LLMs, agents, tooling, and deployment. Rather than a loose bookmark list, it organizes topics into a progression so learners can start from fundamentals and move toward practical, production-oriented skills. It mixes courses, articles, code labs, and videos, emphasizing materials that teach both concepts... -
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Magnitude
Vision AI browser agent for automation, testing, and extraction
Browser Agent by Magnitude is an open source, vision-first browser automation framework that enables users to control web interfaces using natural language instructions. It leverages visually grounded AI models to interpret and interact with web pages based on what is seen on the screen rather than relying solely on the DOM structure. This approach allows the agent to generalize better across complex and modern websites, making it more robust than traditional selector-based automation tools. Browser Agent by Magnitude supports a wide range of capabilities including navigation, interaction, data extraction, and automated verification through built-in testing features. ... -
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vJEPA-2
PyTorch code and models for VJEPA2 self-supervised learning from video
...The repository typically includes end-to-end recipes—data pipelines, augmentation policies, training scripts, and evaluation harnesses. -
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OpenAI Harmony
Renderer for the harmony response format to be used with gpt-oss
Harmony is a response format developed by OpenAI for use with the gpt-oss model series. It defines a structured way for language models to produce outputs, including regular text, reasoning traces, tool calls, and structured data. By mimicking the OpenAI Responses API, Harmony provides developers with a familiar interface while enabling more advanced capabilities such as multiple output channels, instruction hierarchies, and tool namespaces. The format is essential for ensuring gpt-oss models operate correctly, as they are trained to rely on this structure for generating and organizing their responses. ... -
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Vanilla.PDF
Cross-platform SDK for creating and modifying PDF documents
Vanilla.PDF is a modern, high-performance, open-source C++17 SDK designed for creating, editing, signing, and analyzing PDF documents across multiple platforms. It requires no external runtime dependencies, making it lightweight and ideal for embedding into desktop applications, servers, or automation pipelines. The SDK offers full cross-platform support including Windows, Linux, macOS, and Android, with builds available for major compilers and architectures. Vanilla.PDF supports advanced... -
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AMBIT:Chemical Structure DB&Web Service
Chemical structures database & machine learning with web services API
AMBIT offers a cheminformatics data management for chemical substances, structures and nanomaterials. Flexible structure, similarity and study queries storage, descriptor calculation and predictive models building via REST web services.User interface for creating read across assessment and generating reports, aligned with regulatory and industrial requirements. -
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state-in-url
Share complex React state between any components and sync to the URL
Easily share complex states between unrelated React components, with IDE autocomplete and TS validation. Without any hassle or boilerplate. state-in-URL Simple state management with optional URL sync. Share complex states between unrelated React components, TS-friendly, NextJS compatible. Most users don't care about URLs, so, can use them to store your app state. -
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borb
borb is a library for reading, creating and manipulating PDF files
borb is a library for creating and manipulating PDF files in python. borb is a pure python library to read, write, and manipulate PDF documents. It represents a PDF document as a JSON-like data structure of nested lists, dictionaries and primitives (numbers, string, booleans, etc) This is currently a one-man project, so the focus will always be to support those use-cases that are more common in favor of those that are rare. -
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AI Runner
Offline inference engine for art, real-time voice conversations
...It is implemented as a desktop-oriented Python application and emphasizes privacy and self-hosting, allowing users to work with text-to-speech, speech-to-text, text-to-image and multimodal models without sending data to external services. At the core of its LLM stack is a mode-based architecture with specialized “modes” such as Author, Code, Research, QA and General, and a workflow manager that automatically routes user requests to the right agent based on the task. The project has a strong focus on developer ergonomics, with thorough development guidelines, environment configuration using .env variables, and a clear structure for tests, tools and agents. -
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OpenMemory
Local long-term memory engine for AI apps with persistent storage
...It enables developers to give otherwise stateless models a structured memory layer that can store, retrieve, and manage contextual information over time. OpenMemory is built around a hierarchical memory architecture that organizes data into semantic sectors and connects them through a graph-based structure for efficient retrieval. It supports multiple embedding strategies, including synthetic and semantic embeddings, allowing developers to balance speed and accuracy depending on their use case. OpenMemory integrates with various AI tools and environments, offering SDKs and APIs that simplify adding memory capabilities to applications. ... -
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TypeChat
Library for building type-safe natural language interfaces with LLMs
...Instead of writing complex prompts, developers define types that represent the intents supported by their applications. It then uses those type definitions to construct prompts for language models and translate user input into structured data that follows the defined schema. -
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Kaggle Solutions
Collection of Kaggle Solutions and Ideas
Kaggle Solutions is an open-source repository that compiles winning solutions, insights, and educational resources from hundreds of Kaggle data science competitions. The repository acts as a knowledge base for competitive machine learning by collecting solution write-ups, discussion threads, code notebooks, and tutorial resources shared by top Kaggle participants. Each competition entry typically includes information about the dataset, evaluation metrics, modeling strategies, and techniques... -
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The Algorithms - C++ #
Collection of various algorithms in mathematics, machine learning
TheAlgorithms/C-Plus-Plus is a large open-source repository that collects implementations of many classic algorithms and data structures written in the C++ programming language. The project is part of the broader “The Algorithms” initiative, which maintains algorithm implementations in several programming languages to support education and knowledge sharing. Within the C++ repository, contributors implement algorithms across a wide range of fields including sorting, graph theory, number theory, machine learning, cryptography, and data structures. ... -
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DeepSearcher
Open Source Deep Research Alternative to Reason and Search
DeepSearcher is an open-source “deep research” style system that combines retrieval with evaluation and reasoning to answer complex questions using private or enterprise data. It is designed around the idea that high-quality answers require more than top-k retrieval, so it orchestrates multi-step search, evidence collection, and synthesis into a comprehensive response. The project integrates with vector databases (including Milvus and related options) so organizations can index internal... -
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Backbone
Give your JS app some Backbone with models, views, and collections
Backbone is a lightweight JavaScript library (sometimes described as a micro-framework) created by Jeremy Ashkenas that adds structure to JavaScript-heavy applications by providing models, views, collections, events and routing tied to RESTful JSON services. Its main philosophy is to provide the minimal set of primitives to organise your client-side code — models for data, collections for groups of models, views for UI interactions, and routers for state/URL management — without prescribing a full rigid framework. ... -
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Node.js Testing Best Practices
Beyond the basics of Node.js testing
This repository narrows the testing lens to Node.js backends, focusing on the challenges of servers, microservices, and cloud-native deployments. It covers API testing, contract testing, and persistence-layer strategies that avoid coupling tests to fragile implementation details. The material explains how to structure tests around process boundaries—HTTP, queues, cron jobs—while keeping fast feedback cycles through selective integration tests and reliable test doubles. It dives into topics... -
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Rails Admin
RailsAdmin is a Rails engine that provides an easy-to-use interface
...It automatically infers fields, associations, and validations, giving you searchable, sortable list views and rich edit forms with very little setup. The engine supports custom actions, batch operations, and export flows so non-developer staff can manage content and data safely. It integrates with popular authentication and authorization systems (e.g., Devise for login, Pundit/CanCanCan for permissions), and plays nicely with file uploads via Active Storage and common upload gems. Configuration is declarative: you tailor fields, labels, filters, and navigation structure in a single place without forking templates. ... -
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Instructor
Structured outputs for llms
Instructor is a tool that enables developers to extract structured data from natural language using Large Language Models (LLMs). Integrating with Python's Pydantic library allows users to define desired output structures through type hints, facilitating schema validation and seamless integration with IDEs. Instructor supports various LLM providers, including OpenAI, Anthropic, Litellm, and Cohere, offering flexibility in implementation. Its customizable nature permits the definition of... -
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Permify
Permify is an open-source authorization service
Permify is an open source authorization service for creating fine-grained and scalable authorization systems. With Permify, you can easily structure your authorization model, store authorization data in your preferred database, and interact with the Permify API to handle all authorization queries from your applications or services. Permify is inspired by Google’s consistent, global authorization system, Google Zanzibar. Our goal is to make Google's Zanzibar available to everyone and help them to build robust, flexible, and easily auditable authorization system that establishes a natural linkage between permissions across the business units, functions, and entities of an organization. -
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Elixir Language Server
A frontend-independent IDE "smartness" server for Elixir
Implementing features such as auto-complete or go-to-definition for a programming language is not trivial. Traditionally, this work had to be repeated for each development tool and it required a mix of expertise in both the targeted programming language and the programming language internally used by the development tool of choice. The Elixir Language Server (ElixirLS) provides a server that runs in the background, providing IDEs, editors, and other tools with information about Elixir Mix... -
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Vearch
A distributed system for embedding-based vector retrieval
...Otherwise, you can easily customize your own image, video, or text feature extraction algorithm plugin. This GIF provides a clear demonstration of the project vearch usage and its internal structure. The use of vearch is mainly divided into three steps. Firstly, create DB and Space, then import your data, and finally, you can search on your own dataset. -
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Payload
Free and Open-source Headless CMS and Application Framework
Payload has, hands-down, the best developer experience out of any headless CMS. Build whatever you need, however you want, and never hit a functionality roadblock. Payload is the go-to headless CMS for websites, SaaS apps, native apps, and anything else you need to build. Power any website, from enterprise to personal portfolio with Payload as a headless CMS. Its powerful version system and layout-building functionality unlocks the best CMS experience for your editors on the market. Payload... -
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weixin-java-miniapp-demo
WeChat applet Java backend Demo implemented based on Spring Boot
weixin-java-miniapp-demo is a Java backend demonstration project that shows how to build server-side services for WeChat Mini Programs using Spring Boot and the WxJava SDK. The repository provides developers with a structured example of handling authentication, user data, and API interactions required by mini program ecosystems. It is designed to accelerate development by offering working controller examples and configuration patterns that mirror real-world deployments. The project... -
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deepdoctection
A Repo For Document AI
DeepDoctection is a document AI framework that applies deep learning techniques to analyze and extract structured data from scanned documents, PDFs, and images. deepdoctection is a Python library that orchestrates document extraction and document layout analysis tasks using deep learning models. It does not implement models but enables you to build pipelines using highly acknowledged libraries for object detection, OCR and selected NLP tasks and provides an integrated frameworks for... -
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Agently
AI Agent Application Development Framework
Build AI agent native application in very little code. Easy to interact with AI agents in code using structure data and chained-calls syntax. Enhance AI Agent using plugins instead of rebuilding a whole new agent. Agently is a development framework that helps developers build AI agent native applications really fast. You can use and build AI agents in your code in an extremely simple way.
