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Showing 4617 open source projects for "dynamicreports-examples"

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    Recommenders

    Recommenders

    Best practices on recommendation systems

    The Recommenders repository provides examples and best practices for building recommendation systems, provided as Jupyter notebooks. The module reco_utils contains functions to simplify common tasks used when developing and evaluating recommender systems. Several utilities are provided in reco_utils to support common tasks such as loading datasets in the format expected by different algorithms, evaluating model outputs, and splitting training/test data.
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  • 2
    MHNs Data Science Examples

    MHNs Data Science Examples

    Collection of data science examples.

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  • 3
    OnlineToolsBook

    OnlineToolsBook

    Online tool cheats, write a high-quality manual for online tools

    OnlineToolsBook positions itself as a “manual/handbook” for useful online tools — collating, documenting, and explaining many web-based utilities to help users discover, understand, and effectively use them. Rather than building a single web-tool, this repository serves as a knowledge base: descriptions, guidance, and possibly examples or usage notes about a variety of online tools, organized in a way that’s meant to help “make online tools benefit humanity.” For someone who frequently resorts to ad-hoc web tools to solve tasks (text manipulation, image processing, conversion, utilities), OnlineToolsBook acts as an aggregator of “cheat sheets” or curated pointer collection rather than a specific application. ...
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  • 4
    Roadmap To Learn Generative AI In 2025

    Roadmap To Learn Generative AI In 2025

    Basic Machine Learning Natural Language Processing Roadmap

    Roadmap To Learn Generative AI In 2025 is a curated learning path focused on contemporary generative AI — covering large language models (LLMs), diffusion-based image generation, prompt engineering, multi-modal AI, fine-tuning techniques, and the practical considerations for deploying generative models. It’s aimed at learners and developers who already have some programming or ML basics and wish to specialize in generative AI, offering a modern, structured plan that reflects the state of the...
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    The Grand Complete Data Science Guide

    The Grand Complete Data Science Guide

    Data Science Guide With Videos And Materials

    The Grand Complete Data Science Materials is a repository curated by a data-science educator that aggregates a wide range of learning resources — from basic programming and math foundation to advanced topics in machine learning, deep learning, natural language processing, computer vision, and deployment practices — into a structured, centralized collection aimed at learners seeking a comprehensive path to data science mastery. The repository bundles tutorials, lecture notes, project...
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  • 6
    OpenAI Agents JS

    OpenAI Agents JS

    A lightweight, powerful framework for multi-agent workflows

    ...At its core, it introduces primitives like Agents, Tools, Guardrails, and Handoffs, letting you define structured multi-agent systems in a modular way. The repo includes examples showing how to build agents that call local functions, chain between agents, validate input/output, stream responses, and interact in real time (e.g. voice agents via WebRTC). It also has tracing and debugging support so you can introspect how agents executed their workflows. Because it aligns closely with the Python Agents SDK, it aims for cross-language parity so that JS/TS devs can adopt similar agent architectures.
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  • 7
    Tambo

    Tambo

    Add generative UI components to your AI assistant, copilot, or agent

    Tambo is a React-oriented AI orchestration framework that enables integration of “generative UI” components—that is, components that can be dynamically rendered or updated in response to AI decisions or prompts. It acts as the bridge between an AI assistant and the React front end, letting your AI agent not only send text responses, but also generate interactive UI elements (forms, charts, dashboards, etc.). The library includes tools to scaffold a Tambo app, manage state, and integrate with...
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  • 8
    TEN

    TEN

    Open-source framework for conversational voice AI agents

    TEN (Transformative Extensions Network) is an open source framework designed to empower developers to build real-time multimodal AI agents capable of voice, video, text, image, and data-stream interaction with ultra-low latency. It includes a full ecosystem, TEN Turn Detection, TEN Agent, and TMAN Designer, allowing developers to rapidly assemble human-like, responsive agents that can see, speak, hear, and interact. With support for languages like Python, C++, and Go, it offers flexible...
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  • 9
    Emacs Markdown Mode

    Emacs Markdown Mode

    Emacs Markdown Mode

    ...The primary documentation for Markdown Mode is available below, and is generated from comments in the source code. For a more in-depth treatment, the Guide to Markdown Mode for Emacs covers Markdown syntax, advanced movement and editing in Emacs, extensions, configuration examples, tips and tricks, and a survey of other packages that work with Markdown Mode. Finally, Emacs is also a self-documenting editor. This means that the source code itself contains additional documentation: each function has its own docstring available via C-h f (describe-function), individual keybindings can be investigated with C-h k (describe-key), and a complete list of keybindings is available using C-h m (describe-mode).
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  • 10
    Design Patterns Library

    Design Patterns Library

    A comprehensive design patterns library implemented in C#

    A comprehensive design patterns library implemented in C#, which covers various design patterns from the most commonly used ones to the lesser-known ones. Get familiar with and learn design patterns through moderately realistic examples. In software engineering, a design pattern is a general repeatable solution to a commonly occurring problem in software design. A design pattern isn't a finished design that can be transformed directly into code. It is a description or template for how to solve a problem that can be used in many different situations. In addition, design patterns allow developers to communicate using well-known, well-understood names for software interactions. ...
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  • 11
    TinyGSM

    TinyGSM

    A small Arduino library for GSM modules, that just works

    A small Arduino library for GSM modules that just works. This library is easy to integrate with lots of sketches that use Ethernet or WiFi. PubSubClient (MQTT), Blynk, HTTP Client, and File Download examples are provided. Arduino GSM library uses 15868 bytes (49%) of Flash and 1113 bytes (54%) of RAM in a similar scenario. TinyGSM also pulls data gently from the modem (whenever possible), so it can operate on very little RAM. Now, you have more space for your experiments. TCP (HTTP, MQTT, Blynk, ...) All modules support TCP connections. ...
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  • 12
    DeepPavlov

    DeepPavlov

    A library for deep learning end-to-end dialog systems and chatbots

    DeepPavlov makes it easy for beginners and experts to create dialogue systems. The best place to start is with user-friendly tutorials. They provide quick and convenient introduction on how to use DeepPavlov with complete, end-to-end examples. No installation needed. Guides explain the concepts and components of DeepPavlov. Follow step-by-step instructions to install, configure and extend DeepPavlov framework for your use case. DeepPavlov is an open-source framework for chatbots and virtual assistants development. It has comprehensive and flexible tools that let developers and NLP researchers create production-ready conversational skills and complex multi-skill conversational assistants. ...
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  • 13
    aws-devops-zero-to-hero

    aws-devops-zero-to-hero

    AWS zero to hero repo for devops engineers to learn AWS in 30 Days

    aws-devops-zero-to-hero is a 30-day AWS learning roadmap aimed squarely at DevOps engineers who want both conceptual understanding and hands-on projects. The README is structured as a day-by-day syllabus, starting with “Day 1: Introduction to AWS” and moving through IAM, EC2, VPC networking, security, DNS (Route 53), storage (S3), and many other core services. Each day mixes explanation with at least one concrete project or lab, such as deploying applications on EC2, designing secure VPCs,...
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  • 14
    Agentic Commerce Protocol (ACP)

    Agentic Commerce Protocol (ACP)

    Interaction model for connecting buyers to complete purchases

    ...It’s maintained by OpenAI and Stripe and licensed under Apache-2.0, with the goal of being easy to adopt alongside a merchant’s existing commerce stack rather than replacing it. The repository organizes the spec as human-readable RFCs plus machine-readable OpenAPI and JSON Schema definitions, along with worked examples and a changelog so integrators can track breaking changes. Practically, ACP defines three main pieces; a Product Feed for discovery, an Agentic Checkout API for stateful, in-conversation checkout, and a Delegated Payment flow so a merchant’s existing PSP securely handles payment credentials and settlement. Merchants remain the merchant-of-record—orders, fraud controls, payment authorization/capture, refunds, and post-purchase communication all stay on their systems while the agent surfaces status to the buyer.
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  • 15
    Transcrypt

    Transcrypt

    Python 3.7 to JavaScript compiler

    ...Lightning-fast JavaScript 6 code: call caching, for-loop optimization, in-line JavaScript etc. Integrated static typechecking and minification at the tip of a command-line switch. Also runs on top of node.js. Extensive documentation with many code examples. Apache 2.0 license. Pip-install and go! Seamless integration with the universe of high-quality web-oriented JavaScript libraries, rather than the desktop-oriented Python ones.
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  • 16
    Qwen2.5-Omni

    Qwen2.5-Omni

    Capable of understanding text, audio, vision, video

    Qwen2.5-Omni is an end-to-end multimodal flagship model in the Qwen series by Alibaba Cloud, designed to process multiple modalities (text, images, audio, video) and generate responses both as text and natural speech in streaming real-time. It supports “Thinker-Talker” architecture, and introduces innovations for aligning modalities over time (for example synchronizing video/audio), robust speech generation, and low-VRAM/quantized versions to make usage more accessible. It holds...
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  • 18
    bloop

    bloop

    bloop is a fast code search engine written in Rust

    Bloop is an AI-powered code search tool designed to help developers quickly find relevant code snippets, documentation, and usage examples within large repositories. It provides natural language search capabilities and AI-enhanced recommendations for improving code discovery.
    Downloads: 6 This Week
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  • 19
    ws

    ws

    Tiny WebSocket library for Go

    ...Library is tagged as v1* so its API must not be broken during some improvements or refactoring. Example applications using ws are developed in separate repository ws-examples. We can apply the same pattern to read and write structured responses through a JSON encoder and decoder.Zero-copy upgrade helps to avoid unnecessary allocations and copying while handling HTTP Upgrade request.
    Downloads: 4 This Week
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  • 20
    Core ML Stable Diffusion

    Core ML Stable Diffusion

    Stable Diffusion with Core ML on Apple Silicon

    Run Stable Diffusion on Apple Silicon with Core ML. python_coreml_stable_diffusion, a Python package for converting PyTorch models to Core ML format and performing image generation with Hugging Face diffusers in Python. StableDiffusion, a Swift package that developers can add to their Xcode projects as a dependency to deploy image generation capabilities in their apps. The Swift package relies on the Core ML model files generated by python_coreml_stable_diffusion. Hugging Face ran the...
    Downloads: 1 This Week
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  • 21
    spider_collection

    spider_collection

    Collection of Python web scraping scripts for data extraction tasks

    ...In addition to raw data collection, some spiders include basic data processing and analysis using tools such as pandas and simple visualization with matplotlib. It also contains examples of proxy pool integration and encapsulation to support more reliable crawling when working with sites that enforce request limits.
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  • 22
    Eww

    Eww

    ElKowars wacky widgets

    Eww (ElKowar's Wacky Widgets, pronounced with sufficient amounts of disgust) is a widget system made in Rust, which lets you create your own widgets similarly to how you can in AwesomeWM. The key difference: It is independent of your window manager. Configured in yuck and themed using CSS, it is easy to customize and provides all the flexibility you need. Rather than with your system package manager, I strongly recommend installing it using rustup. Additionally, eww requires some dynamic...
    Downloads: 5 This Week
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  • 23
    Flutter Vignettes

    Flutter Vignettes

    A collection of fun Flutter experiments, created by gskinner

    ...Each vignette is a self-contained demo focusing on visuals, animations, or interactions, often pushing the boundaries of what Flutter’s rendering engine can achieve. Examples include custom UI widgets, fluid animations, and interactive design concepts. The project is intended to inspire developers and demonstrate Flutter’s potential for building expressive, high-quality experiences. It’s not only a code resource but also a design showcase, blending engineering and artistry. By presenting small, focused experiments, flutter_vignettes encourages experimentation and learning while illustrating Flutter’s strengths in rapid UI prototyping.
    Downloads: 1 This Week
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  • 24
    Alibi Explain

    Alibi Explain

    Algorithms for explaining machine learning models

    Alibi is a Python library aimed at machine learning model inspection and interpretation. The focus of the library is to provide high-quality implementations of black-box, white-box, local and global explanation methods for classification and regression models.
    Downloads: 4 This Week
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  • 25
    Hasktorch

    Hasktorch

    Tensors and neural networks in Haskell

    Hasktorch is a powerful Haskell library for tensor computation and neural network modeling, built on top of libtorch (the backend of PyTorch). It brings differentiable programming, automatic differentiation, and efficient tensor operations into Haskell’s strongly typed functional paradigm. This project is in active development, so expect changes to the library API as it evolves. We would like to invite new users to join our Hasktorch discord space for questions and discussions....
    Downloads: 4 This Week
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