Showing 621 open source projects for "control"

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  • 1
    Project FuzzyGKS is a Java-based fuzzy logic control system. It provides an extensible, multithreaded framework for fuzzy controllers. FuzzyGKS can be extended from Type I fuzzy reasoning to Type II fuzzy reasoning.
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  • 2
    AI Bots is a programmer's game in which players write programs to control virtual bots which fight each other in an arena. This involves going after various objects in the arena as well as shooting down other bots.
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  • 3
    The development of a biometric system and applications e.g. Access Control based on the system to recognize and verify people. The primary goal is face recognition, but other human attributes might get used too in the future.
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  • 4
    Experiments, etc. tools, frameworks for version control, business rules, persistence, code generation, etc. not an active project these days.
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  • 5
    The purpose of SNX is to have a modular series of components that report back to a central repository and 'AI' for pattern recognition and anomoly detection. This is to help with IDS systems, and to move to the next generation of security.
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  • 6
    It's a network oriented RPG, based on an open-ended artificial society simulation engine. Every character has an AI and acts autonomously; they born, live and die, mate, figth and form parties. The game runs by itself: players can control characters.
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  • 7
    Fido is a library of Java classes that accept natural language (ie English) commands. The system uses a database of hierarchial objects to determine what actions to take. Currently, Fido accepts English command to control EJBs or Web Services
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  • 8
    Qwen-Image-Edit

    Qwen-Image-Edit

    An advanced bilingual image editing with semantic control

    Qwen-Image-Edit is the image editing extension of Qwen-Image, a 20B parameter model that combines advanced visual and text-rendering capabilities for creative and precise editing. It leverages both Qwen2.5-VL for semantic control and a VAE Encoder for appearance control, enabling users to edit at both the content and detail level. The model excels at semantic edits like style transfer, object rotation, and novel view synthesis, while also handling precise appearance edits such as adding or removing elements without altering surrounding regions. A standout feature is its bilingual text editing in English and Chinese, which preserves original font, size, and style during modifications. ...
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  • 9
    Holly provides intelligent control of home appliances through the use of (near) natural language.
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  • 10

    uAnts4Home

    An advanced home automation system which exchanges only devices states

    The micro-Ants are small, cheap, 8-bit devices which may outperform current home automation systems, thanks to their "swarm intelligence". This project aims at developing a micro-Ant hardware and firmware. Join and develop with us this new technology!
    Downloads: 0 This Week
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  • 11
    Qwen2.5-VL-3B-Instruct

    Qwen2.5-VL-3B-Instruct

    Qwen2.5-VL-3B-Instruct: Multimodal model for chat, vision & video

    ...The model supports flexible image input (file path, URL, base64) and outputs structured responses like bounding boxes or JSON, making it highly versatile in commercial and research settings. It excels in a wide range of benchmarks such as DocVQA, InfoVQA, and AndroidWorld control tasks.
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  • 12
    OpenVLA 7B

    OpenVLA 7B

    Vision-language-action model for robot control via images and text

    OpenVLA 7B is a multimodal vision-language-action model trained on 970,000 robot manipulation episodes from the Open X-Embodiment dataset. It takes camera images and natural language instructions as input and outputs normalized 7-DoF robot actions, enabling control of multiple robot types across various domains. Built on top of LLaMA-2 and DINOv2/SigLIP visual backbones, it allows both zero-shot inference for known robot setups and parameter-efficient fine-tuning for new domains. The model supports real-world robotics tasks, with robust generalization to environments seen in pretraining. Its actions include delta values for position, orientation, and gripper status, and can be un-normalized based on robot-specific statistics. ...
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  • 13
    Dia-1.6B

    Dia-1.6B

    Dia-1.6B generates lifelike English dialogue and vocal expressions

    Dia-1.6B is a 1.6 billion parameter text-to-speech model by Nari Labs that generates high-fidelity dialogue directly from transcripts. Designed for realistic vocal performance, Dia supports expressive features like emotion, tone control, and non-verbal cues such as laughter, coughing, or sighs. The model accepts speaker conditioning through audio prompts, allowing limited voice cloning and speaker consistency across generations. It is optimized for English and built for real-time performance on enterprise GPUs, though CPU and quantized versions are planned. The format supports [S1]/[S2] tags to differentiate speakers and integrates easily into Python workflows. ...
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  • 14
    Spec is a voice control based on the libraries of Sphinx-4.
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  • 15
    AICrowd is a application for simulating a crowd of independent and autonomous agents in a complex world. This project aims to have educative purposes, showing basic AI techniques applied to the control of agents in games or other areas.
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  • 16
    Idi is a voice recognition program intended to help people with physical disabilities to use a keyboard by dictating. It can also be used as a way to remote control your computer or as a nice way to type in your bath.
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  • 17
    SuperJabberBot is a project that aims to implements an extendible and very flexible bot for the jabber protocoll in c++.Chatting with the bot you can control a remote server without ssh, and can also be used as a chat bot, learning language from the chat
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  • 18
    translategemma-4b-it

    translategemma-4b-it

    Lightweight multimodal translation model for 55 languages

    translategemma-4b-it is a lightweight, state-of-the-art open translation model from Google, built on the Gemma 3 family and optimized for high-quality multilingual translation across 55 languages. It supports both text-to-text translation and image-to-text extraction with translation, enabling workflows such as OCR-style translation of signs, documents, and screenshots. With a compact ~5B parameter footprint and BF16 support, the model is designed to run efficiently on laptops, desktops, and...
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  • 19
    gpt-oss-120b

    gpt-oss-120b

    OpenAI’s open-weight 120B model optimized for reasoning and tooling

    ...The model supports fine-tuning, chain-of-thought reasoning, and structured outputs, making it ideal for complex workflows. It operates in OpenAI’s Harmony response format and can be deployed via Transformers, vLLM, Ollama, LM Studio, and PyTorch. Developers can control the reasoning level (low, medium, high) to balance speed and depth depending on the task. Released under the Apache 2.0 license, it enables both commercial and research applications. The model supports function calling, web browsing, and code execution, streamlining intelligent agent development.
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  • 20

    automated-linguistic-analysis

    Automated Linguistic Analysis, with both monolith and cluster versions

    Sample application showcasing usage of technologies such as: * OSGi R7 Promises for asynchronous generation of transcriptions and linguistic analyses * OSGi R7 Push Stream and JAX RS Server Sent Events for push notifications of processing status * Apache Camel 2.23.1 and RabbitMQ 3.7 for asynchronous communication between services * JPA 2.1 and Hibernate 5.2.12, along with OSGi R7 JPA and Transaction Control services, for persistence layer * OSGi R7 HTTP and JAX RS Whiteboard for registering servlets, resources and REST controllers * OSGi R7 Configurator, Configuration Admin and Metatype services for automatic configuration of components * OSGi R7 Declarative Services for dependency injection * Maven automated build of Docker images * Maven automated deployment into Kubernetes cluster * RabbitMQ message broker as a StatefulSet * CockroachDB relational database as a StatefulSet See 'Code' tab for detailed information
    Downloads: 0 This Week
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  • 21
    granite-timeseries-ttm-r2

    granite-timeseries-ttm-r2

    Tiny pre-trained IBM model for multivariate time series forecasting

    granite-timeseries-ttm-r2 is part of IBM’s TinyTimeMixers (TTM) series—compact, pre-trained models for multivariate time series forecasting. Unlike massive foundation models, TTM models are designed to be lightweight yet powerful, with only ~805K parameters, enabling high performance even on CPU or single-GPU machines. The r2 version is pre-trained on ~700M samples (r2.1 expands to ~1B), delivering up to 15% better accuracy than the r1 version. TTM supports both zero-shot and fine-tuned...
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