Search Results for "language processing" - Page 17

Showing 960 open source projects for "language processing"

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  • 1
    RAGs

    RAGs

    Build ChatGPT over your data, all with natural language

    RAGs is an open-source application designed to simplify the creation of retrieval-augmented generation pipelines through an interactive interface. Built with Streamlit and powered by the LlamaIndex ecosystem, the tool allows users to construct AI assistants that answer questions using their own data sources. Instead of requiring extensive programming knowledge, the application allows users to configure and build a RAG system using natural language instructions. The system automatically...
    Downloads: 2 This Week
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  • 2

    Image To Text tools

    ITTT is a Free tool designed to Scan and extract Text from Images.

    Image To Text Tools is a 100% Free user-friendly tool designed to Scan and extract containing text in images into editable text formats. Whether you need to extract text from scanned documents, photographs, or other image files, Image To Text Tools provides accurate and reliable Optical Character Recognition (OCR) capabilities to meet your needs.
    Downloads: 9 This Week
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  • 3
    Langcorn

    Langcorn

    Serving LangChain LLM apps automagically with FastApi

    LangCorn is an API server that enables you to serve LangChain models and pipelines with ease, leveraging the power of FastAPI for a robust and efficient experience.
    Downloads: 0 This Week
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  • 4
    NLG-Eval

    NLG-Eval

    Evaluation code for various unsupervised automated metrics

    NLG-Eval is a toolkit for evaluating the quality of natural language generation (NLG) outputs using multiple automated metrics such as BLEU, METEOR, and ROUGE.
    Downloads: 5 This Week
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  • 5
    GPT-2 Output Dataset

    GPT-2 Output Dataset

    Dataset of GPT-2 outputs for research in detection, biases, and more

    The GPT-2 Output Dataset is a large collection of model-generated text, released by OpenAI alongside the GPT-2 research paper to study the behaviors and limitations of large language models. It contains 250,000 samples of GPT-2 outputs, generated with different sampling strategies such as top-k truncation, to highlight the diversity and quality of model completions. The dataset also includes corresponding human-written text for comparison, enabling researchers to explore methods for...
    Downloads: 2 This Week
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  • 6
    spaGO

    spaGO

    Self-contained Machine Learning and Natural Language Processing lib

    A Machine Learning library written in pure Go designed to support relevant neural architectures in Natural Language Processing. Spago is self-contained, in that it uses its own lightweight computational graph both for training and inference, easy to understand from start to finish. The core module of Spago relies only on testify for unit testing. In other words, it has "zero dependencies", and we are committed to keeping it that way as much as possible.
    Downloads: 0 This Week
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  • 7
    EvaDB

    EvaDB

    Database system for building simpler and faster AI-powered application

    Over the last decade, AI models have radically changed the world of natural language processing and computer vision. They are accurate on various tasks ranging from question answering to object tracking in videos. To use an AI model, the user needs to program against multiple low-level libraries, like PyTorch, Hugging Face, Open AI, etc. This tedious process often leads to a complex AI app that glues together these libraries to accomplish the given task.
    Downloads: 2 This Week
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  • 8
    WebArena

    WebArena

    Code repo for "WebArena to build Autonomous Agents

    WebArena is a realistic web environment designed for building and testing autonomous agents, providing a platform for developing web-based AI agents.
    Downloads: 0 This Week
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  • 9
    CSAw - NLP for low-resource languages

    CSAw - NLP for low-resource languages

    CSAw is an NLP framework for low-resource languages

    CSAw is an NLP framework for low-resource languages with a focus on machine translation. The primary goal is to build language models automatically from bilingual text (e.g., front and back translations) using a deep transfer rule-based approach. The core of this strategy is the Concept Specification and Abstraction semantic representation which is specially designed with machine translation in mind. See the preprint article here: https://arxiv.org/abs/1807.02226 The current...
    Downloads: 0 This Week
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  • 10
    Lingua-Go

    Lingua-Go

    The most accurate natural language detection library for Go

    Lingua-Go is a Golang implementation of the Lingua language detection library, providing efficient and accurate language identification for Go-based applications. Its task is simple: It tells you which language some text is written in. This is very useful as a preprocessing step for linguistic data in natural language processing applications such as text classification and spell checking.
    Downloads: 0 This Week
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  • 11
    ZeroMQ

    ZeroMQ

    ZeroMQ core engine in C++, implements ZMTP/3.1

    ...You can connect sockets N-to-N with patterns like fan-out, pub-sub, task distribution, and request-reply. It's fast enough to be the fabric for clustered products. Its asynchronous I/O model gives you scalable multicore applications, built as asynchronous message-processing tasks. It has a score of language APIs and runs on most operating systems. Libzmq is mainly written in C++98 with some optional C++11-fragments. For configuration either autotools or CMake is employed. For Linux users, pre-built binary packages are available for most distributions. Note that DRAFT APIs can change at any time without warning, pick a STABLE build to avoid having them enabled.
    Downloads: 11 This Week
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  • 12
    UniEM

    UniEM

    Unified embedding model

    UniEM is a unified embedding model designed to create high-quality text embeddings for various natural language processing tasks.
    Downloads: 6 This Week
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  • 13
    funNLP

    funNLP

    Resources, corpora, and tools for Chinese natural language processing

    FunNLP is a large, curated collection of resources, corpora, and tools for Chinese natural language processing (NLP). It aggregates datasets, lexicons, wordlists, sentiment dictionaries, knowledge graphs, and pretrained model references, serving as a one-stop resource hub for Chinese NLP practitioners. The repository is organized into categories such as sentiment analysis, text classification, named entity recognition, knowledge graphs, and various lexicons (e.g. sensitive words, emotion dictionaries, stopwords). ...
    Downloads: 0 This Week
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  • 14
    text-dedup

    text-dedup

    All-in-one text de-duplication

    text-dedup is a Python library that enables efficient deduplication of large text corpora by using MinHash and other probabilistic techniques to detect near-duplicate content. This is especially useful for NLP tasks where duplicated training data can skew model performance. text-dedup scales to billions of documents and offers tools for chunking, hashing, and comparing text efficiently with low memory usage. It supports Jaccard similarity thresholding, parallel execution, and flexible...
    Downloads: 0 This Week
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  • 15
    iGPS

    iGPS

    An interactive tool for GNSS position time series analysis

    * Please check latest update on https://github.com/igps-ftk/iGPS A tool written in Interactive Data Language (IDL), for processing and analyzing daily continuous GPS position time series. It can read time series in various formats, detect outliers, remove abnormal observation spans, find jumps, extract common-mode components(CMC), etc.
    Downloads: 0 This Week
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  • 16

    libdspl-2.0

    libdspl-2.0 is opensource cross-platform digital signal processing alg

    libdspl-2.0 — opensource cross-platform digital signal processing algorithm library, written in C language. Distributed under LGPL v3 license. This allows to use this library in all applications with dynamic linking.
    Downloads: 0 This Week
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  • 17
    The Algorithms - C #

    The Algorithms - C #

    Collection of various algorithms in mathematics, machine learning

    TheAlgorithms/C is an open-source repository that provides implementations of classic algorithms and data structures written in the C programming language. The project is part of the larger “The Algorithms” initiative, which aims to create educational resources by implementing algorithms in multiple programming languages. Within the C repository, contributors implement algorithms from many areas of computer science including sorting, searching, graph processing, mathematics, machine learning, and numerical methods. ...
    Downloads: 0 This Week
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  • 18
    Complete Machine Learning Package

    Complete Machine Learning Package

    A comprehensive machine learning repository containing 30+ notebooks

    ...Each notebook introduces theoretical ideas and then demonstrates how to implement them using Python libraries commonly used in data science, such as NumPy, pandas, scikit-learn, and TensorFlow. The repository also includes examples related to natural language processing, computer vision, and data visualization, giving learners exposure to several subfields of machine learning. By organizing the content into modular notebooks, the project allows users to explore topics independently and experiment with the code directly.
    Downloads: 0 This Week
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  • 19
    find-similar

    find-similar

    User-friendly library to find similar objects

    The mission of the FindSimilar project is to provide a powerful and versatile open source library that empowers developers to efficiently find similar objects and perform comparisons across a variety of data types. Whether dealing with texts, images, audio, or more, our project aims to simplify the process of identifying similarities and enhancing decision-making. https://github.com/findsimilar/find-similar - GitHub repo http://demo.findsimilar.org/ - Demo project and...
    Downloads: 0 This Week
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  • 20
    Medusa

    Medusa

    Framework for Accelerating LLM Generation with Multiple Decoding Heads

    Medusa is a framework aimed at accelerating the generation capabilities of Large Language Models (LLMs) by employing multiple decoding heads. This approach allows for parallel processing during text generation, significantly enhancing throughput and reducing response times. Medusa is designed to be simple to implement and integrates with existing LLM infrastructures, making it a practical solution for scaling LLM applications.
    Downloads: 0 This Week
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  • 21
    AminePlatform

    AminePlatform

    Amine is a Multi-Layer Platform for the dev. of Intelligent Systems

    Amine is an Artificial Intelligence Multi-Layer Java Open Source Platform dedicated to the development of various kinds of Intelligent Systems and Agents (Knowledge-Based, Ontology-Based, Conceptual Graph -CG- Based, NLP, Reasoning and Learning, Natural Language Processing, etc.). Ontology, KB can be created and manipulated with various processes. CG theory is used as the main knowledge representation language. Amine provides two languages: PROLOG+CG which extends PROLOG with CG and Amine modules, and SYNERGY which is a visual activation/propagation based language. CGs are considered by SYNERGY as activable/executable graphs. ...
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    Downloads: 1 This Week
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  • 22
    Promptify

    Promptify

    se GPT or other prompt based models to get structured output

    Promptify is an open-source Python library designed to simplify prompt engineering and the development of natural language processing pipelines using large language models. The project provides tools that help developers generate structured prompts for different NLP tasks and apply them across multiple generative AI systems. Instead of manually crafting prompts for each task, Promptify introduces a unified architecture that combines prompt templates, language model interfaces, and processing pipelines into a single framework. ...
    Downloads: 0 This Week
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  • 23
    ffmpeg-go

    ffmpeg-go

    Golang binding for ffmpeg

    ffmpeg-go is a Go language binding for FFmpeg that allows developers to construct and execute complex multimedia processing pipelines using a fluent and programmatic API. It acts as a wrapper around FFmpeg command-line functionality, translating chained function calls into executable FFmpeg commands. The library enables tasks such as transcoding, cutting, filtering, and streaming media while maintaining a clean and readable syntax.
    Downloads: 5 This Week
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  • 24
    SIG Rust

    SIG Rust

    Rust language bindings for TensorFlow

    SIG Rust provides idiomatic Rust bindings for TensorFlow, making it possible for developers to work with TensorFlow functionality from within the Rust programming language. Rather than replacing TensorFlow itself, it acts as an integration layer that connects Rust applications to the TensorFlow C API. The repository is designed for developers who want Rust’s performance, safety, and systems programming strengths while still accessing TensorFlow’s machine learning capabilities. It includes...
    Downloads: 0 This Week
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  • 25
    TextSeek

    TextSeek

    Professional full-text desktop search tool

    TextSeek is a professional full-text desktop search tool. Unlike the filename search tool like Everything and Listary, TextSeek can search filename and file content easily and quickly. It supports PDF, Word, Excel, Powerpoint, RTF and other formats. The software can run directly, and no extra package is required to install.
    Downloads: 6 This Week
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