Showing 70 open source projects for "natural language processing"

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  • 1
    Awesome Fraud Detection Research Papers

    Awesome Fraud Detection Research Papers

    A curated list of data mining papers about fraud detection

    A curated list of data mining papers about fraud detection from several conferences.
    Downloads: 2 This Week
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  • 2
    Diffgram

    Diffgram

    Training data (data labeling, annotation, workflow) for all data types

    ...Annotation is required because raw media is considered to be unstructured and not usable without it. That’s why training data is required for many modern machine learning use cases including computer vision, natural language processing and speech recognition.
    Downloads: 3 This Week
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  • 3
    Riemann

    Riemann

    A network event stream processing system, in Clojure

    Riemann aggregates events from your servers and applications with a powerful stream processing language. Send an email for every exception in your app. Track the latency distribution of your web app. See the top processes on any host, by memory and CPU. Combine statistics from every Riak node in your cluster and forward to Graphite. Track user activity from second to second. Riemann streams are just functions which accept an event.
    Downloads: 8 This Week
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  • 4
    Data Formulator

    Data Formulator

    Create rich visualizations with AI

    To create rich visualizations, data analysts often need to iterate back and forth among data processing and chart specification to achieve their goals. To achieve this, analysts need not only proficiency in data transformation and visualization tools but also efforts to manage the branching history consisting of many different versions of data and charts. Recent LLM-powered AI systems have greatly improved visualization authoring experiences, for example by mitigating manual data...
    Downloads: 2 This Week
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  • 5
    Numaflow

    Numaflow

    Kubernetes-native platform to run massively parallel data/streaming

    Numaflow is a Kubernetes-native tool for running massively parallel stream processing. A Numaflow Pipeline is implemented as a Kubernetes custom resource and consists of one or more source, data processing, and sink vertices. Numaflow installs in a few minutes and is easier and cheaper to use for simple data processing applications than a full-featured stream processing platform.
    Downloads: 2 This Week
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  • 6
    Conversational Health Agents (CHA)

    Conversational Health Agents (CHA)

    A Personalized LLM-powered Agent Frameworks

    CHA, or Conversational Health Agents, is an open-source framework designed to build intelligent healthcare assistants powered by large language models and external data sources. The system enables developers to create personalized AI agents that can interact with users through natural language while performing multi-step reasoning and task execution. It integrates orchestration capabilities that allow the agent to gather information from APIs, knowledge bases, and external services in order to generate more accurate and context-aware responses. ...
    Downloads: 0 This Week
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  • 7
    DenchClaw

    DenchClaw

    Fully Managed OpenClaw Framework for all knowledge work ever

    ...Unlike traditional cloud-based CRMs or AI tools, it runs entirely on the user’s machine and exposes a web interface locally, allowing full control over data, workflows, and automation without relying on external servers. The system combines database management, browser automation, and AI reasoning into a unified interface where users can interact with their data and tools using natural language commands. It can ingest data from sources such as Google Drive, Notion, Gmail, and CRM platforms, consolidating everything into a centralized workspace for analysis and action. One of its most distinctive capabilities is its ability to use the user’s existing browser session, enabling it to log into services, scrape data, and perform actions like outreach or research as if it were the user.
    Downloads: 2 This Week
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  • 8
    Siddhi Core Libraries

    Siddhi Core Libraries

    Stream Processing and Complex Event Processing Engine

    ...Agile development experience with SQL-like query language and graphical drag-and-drop editor supporting event simulation. Lightweight runtime that can natively run on Kubernetes, Docker, VM, or bare metal, and embedded in any Java or Python application. Scalable, and highly available distributed event processing on Kubernetes, with NATS Streaming and Siddhi Kubernetes Operator.
    Downloads: 0 This Week
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  • 9
    101-0250-00

    101-0250-00

    ETH course - Solving PDEs in parallel on GPUs

    This course aims to cover state-of-the-art methods in modern parallel Graphical Processing Unit (GPU) computing, supercomputing and code development with applications to natural sciences and engineering.
    Downloads: 1 This Week
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  • 10
    Benthos

    Benthos

    Fancy stream processing made operationally mundane

    Benthos is a high performance and resilient stream processor, able to connect various sources and sinks in a range of brokering patterns and perform hydration, enrichments, transformations and filters on payloads. It comes with a powerful mapping language, is easy to deploy and monitor, and ready to drop into your pipeline either as a static binary, docker image, or serverless function, making it cloud native as heck. Delivery guarantees can be a dodgy subject. Benthos processes and...
    Downloads: 10 This Week
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  • 11

    Bulgarian language support

    Spell check, grammar check and hyphenation for Bulgarian language

    The goal of this project is to provide spell check, grammar check and hyphenation for Bulgarian language for Open Source products such as OpenOffice.org, LibreOffice, TeX, aspell, ispell, hunspell etc.
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    Downloads: 14 This Week
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  • 12
    AI Data Science Team

    AI Data Science Team

    An AI-powered data science team of agents

    ...It provides a modular agent framework where each agent focuses on a step in the typical data science pipeline — for example, loading data from CSV/Excel files, cleaning and wrangling messy datasets, engineering predictive features, building models with AutoML, connecting to SQL databases, and producing visual outputs — all driven by natural language or programmatic instructions. The project includes ready-to-use applications that showcase these agents in action, such as an exploratory data analysis copilot that generates reports, a pandas data analyst that combines wrangling and plotting, and SQL database agents that can query business databases and output results directly.
    Downloads: 1 This Week
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  • 13
    Bubble Lab

    Bubble Lab

    Open source workflow automation platform built for developers

    ...It provides a visual “bubble” editor paired with real TypeScript generation so workflows are human-readable, shareable, debuggable, and production-ready, giving teams the flexibility to treat automations like real software artifacts you can version and integrate into CI/CD pipelines. With its AI-assisted prompt-to-workflow generation, users can describe the automation they want in natural language and BubbleLab’s assistant will draft an initial workflow with integrations, branches, and transformations. Execution tracing, cost tracking, observability dashboards, and logs give engineers full visibility into performance, errors, and dependencies so debugging and optimization are straightforward.
    Downloads: 0 This Week
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  • 14
    Gridap.jl

    Gridap.jl

    Grid-based approximation of partial differential equations in Julia

    ...One can implement new FE spaces, new reference elements, use external mesh generators, linear solvers, post-processing tools, etc. See, e.g., the list of available Gridap plugins.
    Downloads: 4 This Week
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  • 15
    Dexter

    Dexter

    An autonomous agent for deep financial research

    Dexter is an autonomous agent tailored for deep financial research: you pose complex financial questions (for example, about a company’s revenue growth or financial ratios) and Dexter breaks them down into structured research tasks, fetches relevant real-time data (e.g. income statements, cash flows), performs analysis, and returns data-backed answers. It uses a multi-agent architecture with components such as a planning agent (to decompose queries), an action agent (to run tasks & fetch...
    Downloads: 1 This Week
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  • 16
    Searchkick

    Searchkick

    Intelligent search made easy

    Searchkick brings powerful, production-ready search to Rails by mapping Active Record models into Elasticsearch with sensible defaults and easy customization. It supports language analyzers, stemming, synonyms, misspelling tolerance, and highlighting so search results feel natural to end users. Indexing is model-centric: you declare what fields to index, add computed fields, and trigger reindexing via callbacks or background jobs, with options for zero-downtime rolling reindexes. On the query side, a simple API covers relevance tuning, boosting, filtering, faceting/aggregations, and pagination, while still allowing direct access to advanced Elasticsearch features when needed. ...
    Downloads: 0 This Week
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  • 17

    Pytente

    Uma Ferramenta Computacional para Análise e Recuperação de Patentes

    O Pytente é uma solução avançada para automatizar o processo de coleta, armazenamento e tratamento de dados bibliográficos de patentes. A ferramenta foi projetada para simplificar a coleta de grandes volumes de dados em repositórios de acesso aberto. O Pytente garante o armazenamento estruturado das informações, além da validação e eliminação de registros duplicados. Dentre as diversas funcionalidades disponibilizadas pela ferramenta, destacam-se a extração personalizada de subconjuntos de...
    Downloads: 0 This Week
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  • 18
    ProjectLibre - Project Management

    ProjectLibre - Project Management

    #1 alternative to Microsoft Project : Project Management & Gantt Chart

    ...Cloud supports multi-project management w/ role-based access, central resource pool, Dashboard, Portfolio View 💡 The AI Cloud version can generate full project plans (tasks, durations, dependencies) from a natural language prompt — in any language. 🌐 Try the Cloud: http://www.projectlibre.com/register/trial 💻 Mac tip: If blocked, go to System Preferences → Security → Allow install 🏆 InfoWorld “Best of Open Source” • Used at 1,700+ universities • 250K+ community 🙏 Support us: http://www.gofundme.com/f/projectlibre-free-open-source-development
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    Downloads: 19,636 This Week
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  • 19
    Open Wearables

    Open Wearables

    Unified API for 200+ wearables. Self-hosted, no fees.

    Open-source, self-hosted health intelligence platform that unifies data from 200+ wearables into a single API. Built to democratize access to wearable data infrastructure that's typically locked behind enterprise contracts - deploy with docker-compose, own your data, no per-user fees.
    Downloads: 1 This Week
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  • 20
    mendelson AS2

    mendelson AS2

    Implementation of the EDIINT AS2 protocol (RFC 4130)

    mendelson AS2 is the JAVA-based open source EDIINT AS2 solution. Monitoring- and configuration GUI, async & sync MDN, signatures, encryption, TLS, web interface, pluggable into any servlet container, partner manager, certificate manager, data compression, optional profiles: MA, FN. Localized to Spanish, Italian, Portuguese, German, English, French, Polish
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    Downloads: 151 This Week
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  • 21
    Catbird Linux

    Catbird Linux

    Linux for content creation, web scraping, coding, and data analysis.

    Catbird Linux is a USB pluggable Live Linux operating system built for media creation, web scraping, and software coding. It is the daily driver you want for retrieving data, making videos or podcasts, and making software tools to automate the repetitive tasks. It is ready for work in Python, Lua, and Go languages, with numerous packages for web scraping or downloading data via API calls. Using Catbird Linux, it is possible to accomplish in depth stock market analysis, track weather...
    Downloads: 9 This Week
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  • 22
    Quick 2d Plot

    Quick 2d Plot

    Program for live 2d graphical representation of data streams

    Quick2dPlot, or q2d for short, is an open source minimalistic plotting program designed for live 2d graphical representation of data streams. The program may be useful for plotting output of different user's application programs, especially in case when the user wants to see a plot or a number of plots during calculations or a data acquisition process. The program is command-driven and uses no widgets. Q2d is written in C, it takes advantage of SDL2 library for plotting. Currently...
    Downloads: 0 This Week
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  • 23
    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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  • 24
    SentimentAnalysis-Rick&Morty

    SentimentAnalysis-Rick&Morty

    Rick & Morty Sentiment Analysis - End-of-Degree Project - UNIR

    The remarkable progress in the field of Big Data has driven the development of new technologies in natural language processing and data analysis. Text mining is a fascinating application of data analysis that extracts relevant information from related writings in different linguistic contexts. And therefore, in natural language processing, sentiment analysis and classification stands out as a key application supported by text mining. ...
    Downloads: 0 This Week
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  • 25
    Selefra

    Selefra

    The open-source policy-as-code software that provides analysis

    Selefra is an open-source policy-as-code and infrastructure analysis tool that helps engineering and security teams gain visibility into complex multi-cloud and SaaS environments by treating infrastructure data as queryable information. The core idea behind Selefra is “select * from infrastructure,” meaning you can write flexible SQL-style queries against cloud configuration and inventory data assembled from dozens of services such as AWS, Azure, GCP, Kubernetes, GitHub, Slack, and more,...
    Downloads: 2 This Week
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