Search Results for "/storage/emulated/0/android/data/net.sourceforge.uiq3.fx603p/files" - Page 38

Showing 2445 open source projects for "/storage/emulated/0/android/data/net.sourceforge.uiq3.fx603p/files"

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    Efficiently executing the complex processes of enterprise manufacturers and distributors. Infor M3 is a cloud-based, manufacturing and distribution ERP system that leverages the latest technologies to provide an exceptional user experience and powerful analytics in a multicompany, multicountry, and multisite platform. Infor M3 and related CloudSuite™ industry solutions include industry-leading functionality for the chemical, distribution, equipment, fashion, food and beverage, and industrial manufacturing industries. Staying ahead of the competition means staying agile. Our new capabilities bring improved data-driven insights and streamlined workflows to help you make informed decisions and take quick action.
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  • 1
    SeaGOAT

    SeaGOAT

    local-first semantic code search engine

    ...By combining vector search with tools like ripgrep, SeaGOAT provides a hybrid approach that supports both natural language queries and precise keyword matching in source files. It is built primarily in Python and is intended to work on common operating systems such as Linux, macOS, and Windows.
    Downloads: 3 This Week
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  • 2
    Sandstorm

    Sandstorm

    One API call, pull Claude agent, completely sandboxed

    Sandstorm is an open-source project that wraps a powerful Claude-based AI agent within a completely sandboxed, ephemeral API service designed to make agentic AI workflows easy to deploy and scale without infrastructure complexity. The core idea is to provide “one API call” access to a robust Claude agent loop that runs inside a secure sandbox, so you can upload files, connect tools, and run long-running tasks — all managed behind a simple REST-style interface that disappears when the work is done. This approach lowers the friction of building autonomous agents by removing the need to provision servers, orchestrate distributed agents, or manage persistent tooling; agents can be spun up in parallel without manual setup and shut down when complete. ...
    Downloads: 3 This Week
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  • 3
    JMusicBot

    JMusicBot

    A Discord music bot that's easy to set up and run yourself

    ...Server-specific setup for the "DJ" role that can moderate the music. Clean and beautiful menus. Supports many sites, including Youtube, Soundcloud, and more. Supports many online radio/streams. Supports local files. Playlist support (both web/youtube and local) This bot (and the source code here) might not be easy to edit for inexperienced programmers. The main purpose of having the source public is to show the capabilities of the libraries, to allow others to understand how the bot works, and to allow those knowledgeable about java, JDA, and Discord bot development to contribute.
    Downloads: 3 This Week
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  • 4
    SEO Machine

    SEO Machine

    A specialized Claude Code workspace for creating long-form

    ...The system uses specialized commands and agents to perform tasks such as keyword research, competitor analysis, content drafting, and optimization. It incorporates real data sources like Google Analytics and Search Console to guide decision-making and improve content effectiveness. The architecture emphasizes context-awareness, using brand voice, style guides, and keyword strategies to maintain consistency across outputs. It also includes performance evaluation tools that score content and suggest improvements before publishing.
    Downloads: 0 This Week
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    EasySend is a no-code platform that transforms customer journeys

    Defy form limits. 
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  • 5
    AI-Tutorials/Implementations Notebooks

    AI-Tutorials/Implementations Notebooks

    Codes/Notebooks for AI Projects

    AI-Tutorials/Implementations Notebooks repository is a comprehensive collection of artificial intelligence tutorials and implementation examples intended for developers, students, and researchers who want to learn by building practical AI projects. The repository contains numerous Jupyter notebooks and code samples that demonstrate modern techniques in machine learning, deep learning, data science, and large language model workflows. It includes implementations for a wide range of AI topics such as computer vision, agent systems, federated learning, distributed systems, adversarial attacks, and generative AI. Many of the tutorials focus on building AI agents, multi-agent systems, and workflows that integrate language models with external tools or APIs. ...
    Downloads: 0 This Week
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  • 6
    The Machine & Deep Learning Compendium

    The Machine & Deep Learning Compendium

    List of references in my private & single document

    ...The compendium includes explanations of concepts across multiple domains such as natural language processing, computer vision, time-series analysis, anomaly detection, and graph learning. In addition to technical algorithms, the project also covers practical topics related to data science workflows, engineering practices, and product development in AI systems.
    Downloads: 0 This Week
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  • 7
    HyperAgent

    HyperAgent

    AI Browser Automation

    ...Built on top of Playwright, the framework allows developers to automate complex browser interactions using natural language commands rather than fragile selectors or hard-coded scripts. Instead of manually writing logic for clicking elements, extracting data, or navigating web pages, developers can instruct the agent in plain language and allow the AI layer to interpret and execute the task. This approach reduces the brittleness commonly associated with traditional automation scripts that break when the DOM structure changes. HyperAgent includes APIs such as page.ai() and page.extract() that allow structured data extraction and dynamic task execution through AI reasoning.
    Downloads: 0 This Week
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  • 8
    BettaFish

    BettaFish

    Public opinion analysis system

    BettaFish is an open-source, multi-agent public opinion analysis system built to automate the collection, deep analysis, and reporting of social media data at scale through conversational queries. It uses a modular architecture of specialized agents that collaborate to crawl mainstream platforms, extract multimodal content like text and short video, and synthesize insights through both statistical and large language model techniques. With a design that lets users pose questions in natural language and receive structured reports, charts, and visualizations, the system aims to break information cocoons and provide comprehensive views of trends and public sentiment. ...
    Downloads: 0 This Week
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  • 9
    TONL

    TONL

    TONL (Token-Optimized Notation Language)

    ...TONL isn’t just a format — it includes a rich API for querying, indexing, modifying, and streaming data, along with tools for schema validation and TypeScript code generation. The platform comes with a complete command-line interface that supports interactive dashboards and cross-platform usage in browsers and server environments, and its high test coverage gives developers confidence in stability.
    Downloads: 0 This Week
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  • 10
    Engram

    Engram

    A New Axis of Sparsity for Large Language Models

    Engram is a high-performance embedding and similarity search library focused on making retrieval-augmented workflows efficient, scalable, and easy to adopt by developers building search, recommendation, or semantic matching systems. It provides utilities to generate embeddings from text or other structured data, index them using efficient approximate nearest neighbor algorithms, and perform real-time similarity queries even on large corpora. Engineered with speed and memory efficiency in mind, Engram supports batched indexing, incremental updates, and custom distance metrics so developers can tailor search behaviors to their domain’s needs. ...
    Downloads: 0 This Week
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  • 11
    PyCaret

    PyCaret

    An open-source, low-code machine learning library in Python

    ...PyCaret is essentially a Python wrapper around several machine learning libraries and frameworks such as scikit-learn, XGBoost, LightGBM, CatBoost, Optuna, Hyperopt, Ray, and few more. The design and simplicity of PyCaret are inspired by the emerging role of citizen data scientists, a term first used by Gartner. Citizen Data Scientists are power users who can perform both simple and moderately sophisticated analytical tasks that would previously have required more technical expertise.
    Downloads: 0 This Week
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  • 12
    RecBole

    RecBole

    A unified, comprehensive and efficient recommendation library

    A unified, comprehensive and efficient recommendation library. We design general and extensible data structures to unify the formatting and usage of various recommendation datasets. We implement more than 100 commonly used recommendation algorithms and provide formatted copies of 28 recommendation datasets. We support a series of widely adopted evaluation protocols or settings for testing and comparing recommendation algorithms.
    Downloads: 0 This Week
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  • 13
    MaxKB

    MaxKB

    Open-source platform for building enterprise-grade agents

    MaxKB (Max Knowledge Brain) is an open-source platform for building enterprise-grade AI agents with strong knowledge retrieval, RAG pipelines, and workflow orchestration. It focuses on practical deployments such as customer support, internal knowledge bases, research assistants, and education, bundling tools for data ingestion, chunking, embedding, retrieval, and answer synthesis. The system exposes flexible tool-use (including MCP), supports multi-model backends, and provides dashboards for dataset management and evaluation. It’s backed by an active org that also builds adjacent ops tooling, and there’s a dedicated documentation repo for configuration and contribution. ...
    Downloads: 4 This Week
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  • 14
    BISHENG

    BISHENG

    BISHENG is an open LLM devops platform for next generation apps

    BISHENG is an open LLM application DevOps platform, focusing on enterprise scenarios. It has been used by a large number of industry-leading organizations and Fortune 500 companies. "Bi Sheng" was the inventor of movable type printing, which played a vital role in promoting the transmission of human knowledge. We hope that BISHENG can also provide strong support for the widespread implementation of intelligent applications. Everyone is welcome to participate.
    Downloads: 4 This Week
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  • 15
    Ultralytics

    Ultralytics

    Ultralytics YOLO

    Ultralytics is a comprehensive computer vision framework that provides state-of-the-art implementations of the YOLO (You Only Look Once) family of models, enabling developers to perform tasks such as object detection, segmentation, classification, tracking, and pose estimation within a unified system. It is designed to be fast, accurate, and easy to use, offering both command-line and Python-based interfaces for training, validation, and deployment of machine learning models. The framework...
    Downloads: 3 This Week
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  • 16
    Ollamac

    Ollamac

    Mac app for Ollama

    ...The application focuses on delivering a lightweight and responsive experience that integrates seamlessly with the macOS ecosystem. Because the models run locally, the system enables private AI workflows without sending data to external APIs or cloud services. Ollamac supports different Ollama models and provides features designed to improve usability such as syntax highlighting and configurable settings.
    Downloads: 3 This Week
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  • 17
    ComfyUI-LTXVideo

    ComfyUI-LTXVideo

    LTX-Video Support for ComfyUI

    ComfyUI-LTXVideo is a bridge between ComfyUI’s node-based generative workflow environment and the LTX-Video multimedia processing framework, enabling creators to orchestrate complex video tasks within a visual graph paradigm. Instead of writing code to apply effects, transitions, edits, and data flows, users can assemble nodes that represent video inputs, transformations, and outputs, letting them prototype and automate video production pipelines visually. This integration empowers non-programmers and rapid-iteration teams to harness the performance of LTX-Video while maintaining the clarity and flexibility of a dataflow graph model. ...
    Downloads: 3 This Week
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  • 18
    NVIDIA AgentIQ

    NVIDIA AgentIQ

    The NVIDIA AgentIQ toolkit is an open-source library

    NVIDIA AgentIQ is an open-source toolkit designed to efficiently connect, evaluate, and accelerate teams of AI agents. It provides a framework-agnostic platform that integrates seamlessly with various data sources and tools, enabling developers to build composable and reusable agentic workflows. By treating agents, tools, and workflows as simple function calls, AgentIQ facilitates rapid development and optimization of AI-driven applications, enhancing collaboration and efficiency in complex tasks. ​
    Downloads: 3 This Week
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  • 19
    Olares

    Olares

    Olares: An Open-Source Sovereign Cloud OS for Local AI

    Olares is an AI-powered chatbot framework designed to support real-time natural language understanding and response generation.
    Downloads: 1 This Week
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  • 20
    OpenAdapt

    OpenAdapt

    Open Source Generative Process Automation

    OpenAdapt is the open source software adapter between Large Multimodal Models (LMMs) and traditional desktop and web Graphical User Interfaces (GUIs). OpenAdapt learns to automate your desktop and web workflows by observing your demonstrations. Spend less time on repetitive tasks and more on work that truly matters. Boost team productivity in HR operations. Automate candidate sourcing using LinkedIn Recruiter, LinkedIn Talent Solutions, GetProspect, Reply.io, outreach.io, Gmail/Outlook, and...
    Downloads: 3 This Week
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  • 21
    gplearn

    gplearn

    Genetic Programming in Python, with a scikit-learn inspired API

    ...It begins by building a population of naive random formulas to represent a relationship between known independent variables and their dependent variable targets in order to predict new data. Each successive generation of programs is then evolved from the one that came before it by selecting the fittest individuals from the population to undergo genetic operations.
    Downloads: 3 This Week
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  • 22
    Semantic Router

    Semantic Router

    Superfast AI decision making and processing of multi-modal data

    Semantic Router is a superfast decision-making layer for your LLMs and agents. Rather than waiting for slow, unreliable LLM generations to make tool-use or safety decisions, we use the magic of semantic vector space — routing our requests using semantic meaning. Combining LLMs with deterministic rules means we can be confident that our AI systems behave as intended. Cramming agent tools into the limited context window is expensive, slow, and fundamentally limited. Semantic Router enables...
    Downloads: 3 This Week
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  • 23
    fugue

    fugue

    A unified interface for distributed computing

    Fugue is a unified interface for distributed computing that lets users execute Python, Pandas, and SQL code on Spark, Dask, and Ray with minimal rewrites.
    Downloads: 1 This Week
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  • 24
    OxidizeBot

    OxidizeBot

    High performance Twitch bot in Rust

    ...OxidizeBot doesn't cost you anything, and its source code is available on GitHub for anyone to tinker with! Plays music moderates your chat, plays games, you name it! You own your data. It uses your internet for the best possible latency. It's light on system resources*. And running locally means it can perform rich interactions with your games like Chaos%.
    Downloads: 3 This Week
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  • 25
    Bootstrap Your Own Latent (BYOL)

    Bootstrap Your Own Latent (BYOL)

    Usable Implementation of "Bootstrap Your Own Latent" self-supervised

    ...This repository offers a module that one can easily wrap any image-based neural network (residual network, discriminator, policy network) to immediately start benefitting from unlabelled image data. There is now new evidence that batch normalization is key to making this technique work well. A new paper has successfully replaced batch norm with group norm + weight standardization, refuting that batch statistics are needed for BYOL to work. Simply plugin your neural network, specifying (1) the image dimensions as well as (2) the name (or index) of the hidden layer, whose output is used as the latent representation used for self-supervised training.
    Downloads: 3 This Week
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