Search Results for "ofn-extract-objects.py" - Page 4

Showing 1323 open source projects for "ofn-extract-objects.py"

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  • 1
    AWS Encryption SDK for Dafny

    AWS Encryption SDK for Dafny

    AWS Encryption SDK for Dafny

    ... the specification alongside this implementation. Refer to the specification for how to install duvet in order to generate reports. By default duvet_report will extract the spec only if it cannot find the compliance directory in the specification repo, but will re-use a previous extraction if it exists.
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  • 2
    dategrep

    dategrep

    Print lines matching a time range

    dategrep is a command-line utility designed to extract lines from log files that fall within a specified time range. It efficiently processes large log files by performing a binary search to locate the relevant entries, making it a valuable tool for system administrators and developers analyzing time-specific events.
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  • 3
    MCP Server RAG Web Browser

    MCP Server RAG Web Browser

    A MCP Server for the RAG Web Browser Actor

    The MCP Server for the RAG Web Browser Actor allows AI assistants and LLMs to perform web searches and extract information from web pages. It facilitates interaction with the web, enabling up-to-date context retrieval for AI applications. ​
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  • 4
    SSZipArchive

    SSZipArchive

    ZipArchive is a simple utility class for zipping and unzipping files

    ZipArchive is a popular Objective-C and Swift library for handling ZIP file compression and extraction in iOS and macOS applications. It provides a simple API to create, extract, and manage compressed files.
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    No-Nonsense Code-to-Cloud Security for Devs | Aikido

    Connect your GitHub, GitLab, Bitbucket, or Azure DevOps account to start scanning your repos for free.

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  • 5
    TorchDistill

    TorchDistill

    A coding-free framework built on PyTorch

    torchdistill (formerly kdkit) offers various state-of-the-art knowledge distillation methods and enables you to design (new) experiments simply by editing a declarative yaml config file instead of Python code. Even when you need to extract intermediate representations in teacher/student models, you will NOT need to reimplement the models, which often change the interface of the forward, but instead specify the module path(s) in the yaml file. In addition to knowledge distillation...
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  • 6
    DataProfiler

    DataProfiler

    Extract schema, statistics and entities from datasets

    DataProfiler is an AI-powered tool for automatic data analysis and profiling, designed to detect patterns, anomalies, and schema inconsistencies in structured and unstructured datasets. The DataProfiler is a Python library designed to make data analysis, monitoring, and sensitive data detection easy. Loading Data with a single command, the library automatically formats & loads files into a DataFrame. Profiling the Data, the library identifies the schema, statistics, entities (PII / NPI), and...
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  • 7
    Verba

    Verba

    Retrieval Augmented Generation (RAG) chatbot powered by Weaviate

    Welcome to Verba: The Golden RAGtriever, a community-driven open-source application designed to offer an end-to-end, streamlined, and user-friendly interface for Retrieval-Augmented Generation (RAG) out of the box. In just a few easy steps, explore your datasets and extract insights with ease, either locally with Ollama and Huggingface or through LLM providers such as Anthrophic, Cohere, and OpenAI. This project is built with and for the community, please be aware that it might...
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  • 8
    Mirascope

    Mirascope

    LLM abstractions that aren't obstructions

    Mirascope is a powerful, flexible, and user-friendly library that simplifies the process of working with LLMs through a unified interface that works across various supported providers, including OpenAI, Anthropic, Mistral, Gemini, Groq, Cohere, LiteLLM, Azure AI, Vertex AI, and Bedrock. Whether you're generating text, extracting structured information, or developing complex AI-driven agent systems, Mirascope provides the tools you need to streamline your development process and create...
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  • 9
    JSONPath Plus

    JSONPath Plus

    A fork of JSONPath

    Analyse, transform, and selectively extract data from JSON documents (and JavaScript objects). JSON path-plus expands on the original specification to add some additional operators and makes explicit some behaviors the original did not spell out. Try the browser demo or Runkit (Node).
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    Photo and Video Editing APIs and SDKs

    Trusted by 150 million+ creators and businesses globally

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  • 10
    fastdup

    fastdup

    An unsupervised and free tool for image and video dataset analysis

    fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.
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  • 11
    Rust Data Analysis

    Rust Data Analysis

    Rust for data analysis encyclopedia (WIP)

    Welcome to the Rust Data Analysis repository! This collection of Jupyter notebooks provides a comprehensive exploration of data analysis using Rust. Powered by a Rust kernel, these notebooks allow you to dive deep into the realm of data analysis, leveraging the capabilities of the Rust programming language. With the help of various Rust libraries, such as ndarray, plotters, and more, you'll be able to extract valuable insights from different datasets with ease.
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  • 12
    JabRef Bibliography Management

    JabRef Bibliography Management

    Graphical Java application for managing BibTeX and biblatex

    JabRef is an open-source, cross-platform citation and reference management tool. Stay on top of your literature: JabRef helps you to collect and organize sources, find the paper you need and discover the latest research. JabRef is available free of charge and is actively developed. It supports you in every step of your research work.
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  • 13
    imodelsX

    imodelsX

    Interpretable prompting and models for NLP

    Interpretable prompting and models for NLP (using large language models). Generates a prompt that explains patterns in data (Official) Explain the difference between two distributions. Find a natural-language prompt using input-gradients. Fit a better linear model using an LLM to extract embeddings. Fit better decision trees using an LLM to expand features. Finetune a single linear layer on top of LLM embeddings. Use these just a like a sci-kit-learn model. During training, they fit better...
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  • 14
    Overload

    Overload

    3D Game engine with editor

    ... on Overload essential features. We will add more features in the future. The Overload SDK is the core of the engine. It is a set of libraries that our applications (OvGame and OvEditor) are using. We designed theses libraries with reusability in mind. They are extremely modular and easy to extract from a game engine context.
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  • 15
    Colly

    Colly

    Elegant Scraper and Crawler Framework for Golang

    Colly provides a clean interface to write any kind of crawler/scraper/spider. With Colly you can easily extract structured data from websites, which can be used for a wide range of applications, like data mining, data processing or archiving. Clean API. Fast (>1k request/sec on a single core) Manages request delays and maximum concurrency per domain. Automatic cookie and session handling. Sync/async/parallel scraping. Distributed scraping. Caching, automatic encoding of non-unicode responses...
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  • 16
    esquisse

    esquisse

    RStudio add-in to make plots interactively with ggplot2

    The purpose of this add-in is to let you explore your data quickly to extract the information they hold. You can create visualization with {ggplot2}, filter data with {dplyr} and retrieve generated code. This addin allows you to interactively explore your data by visualizing it with the ggplot2 package. It allows you to draw bar plots, curves, scatter plots, histograms, boxplot and sf objects, then export the graph or retrieve the code to reproduce the graph. This addin allows you...
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  • 17
    Hugo Theme Stack

    Hugo Theme Stack

    Card-style Hugo theme designed for bloggers

    Card-style Hugo theme designed for bloggers. Stack is a simple card-style Hugo theme designed for bloggers, some of its features are responsive images support, lazy load images, dark mode, local search, PhotoSwipe integration, archive page template, full native JavaScript, and no jQuery or any other frameworks are used, no CSS framework, keep it simple and minimal, properly cropped thumbnails. Subsection support, table of contents, multilingual mode and RTL support. It's necessary to use...
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  • 18
    i18n ally

    i18n ally

    All in one i18n extension for VS Code

    Lokalise is the fastest growing language cloud technology made by developers, for developers. As a collaborative productivity platform, it helps structure and automate the translation and localization process for any company in the world. This extension itself supports i18n as well. It will be auto-matched to the display language you use in your VS Code editor. Supports multi-root workspaces. Supports remote development. Supports numerous popular frameworks. Supports linked locale messages....
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  • 19
    LangExtract

    LangExtract

    A Python library for extracting structured information

    LangExtract is a Python library developed by Google that leverages large language models (LLMs) to extract structured information from unstructured text—such as clinical notes, research papers, or literary works—based on user-defined instructions. It is designed to transform free-form text into reliable, schema-constrained data while maintaining traceability back to the source material. Each extracted entity is precisely grounded in its original context, allowing visual inspection...
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  • 20
    Instructor

    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...
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  • 21
    Tarsier

    Tarsier

    Vision utilities for web interaction agents

    At Reworkd, we iterated on all these problems across tens of thousands of real web tasks to build a powerful perception system for web agents... Tarsier! In the video below, we use Tarsier to provide webpage perception for a minimalistic GPT-4 LangChain web agent. Tarsier visually tags interactable elements on a page via brackets + an ID e.g. [23]. In doing this, we provide a mapping between elements and IDs for an LLM to take actions upon (e.g. CLICK [23]). We define interactable elements...
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  • 22
    cognee

    cognee

    Deterministic LLMs Outputs for AI Applications and AI Agents

    ... works; unstructured text or raw media files, PDFs, tables, presentations, JSON files, and so many more. Add small or large files, or many files at once. We map out a knowledge graph from all the facts and relationships we extract from your data. Then, we establish graph topology and connect related knowledge clusters, enabling the LLM to "understand" the data.
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  • 23
    Skyvern

    Skyvern

    Automate browser-based workflows with LLMs and Computer Vision

    ..., with support for country, state, or even precise zip-code level targeting. Skyvern understands how to solve CAPTCHAs to complete complicated workflows. Support for authenticating into user accounts, including support for 2FA/TOTP. Extract data from workflows in any schema of your choice including CSV or JSON. Automate procurement pipelines, breeze through government forms, and complete workflows in any language.
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  • 24
    Carvel ytt

    Carvel ytt

    YAML templating tool that works on YAML structure instead of text

    ..., externalize values to variables, extract repeated snippets to functions, and make whole sections conditional. Patch on top of any configuration using ytt overlays. Express precise structural edits and invariant declaratively. ytt execution environment is hermetic and side-effect free, with no access to filesystem, network, time, randomness, or the operating system interfaces. This guarantees that templates produce identical output with the same inputs.
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  • 25
    GitHub Workflows Kt

    GitHub Workflows Kt

    Authoring GitHub Actions workflows in Kotlin

    ... accidentally used the wrong indentation, missed a possibility to extract a reusable piece of code, or been confused by ambiguous types? The power of a generic-purpose would come in handy in these cases. We're developing GitHub-workflows-kt to solve these and other problems, so you can create GitHub Workflows with confidence.
    Downloads: 0 This Week
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