112 projects for "run time java" with 2 filters applied:

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  • 1
    The purpose of this program is to prove that given a finite number of Monkeys and a finite amount of time one monkey will be able to make more money off the stock market than any human being. Checkout our web site for an uncorrupted download.
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  • 2
    SNARLI (Simple Neural ARchitecture LIbrary) is a Java package containing a back-prop layer class and classes for the Self-Organizing Map and Incremental Growing Grid. The back-prop class supports sigma-pi connections and back-prop-through-time.
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  • 3
    Jaybird is java-language based, source & xml & codebyte class inter-converting tool. You can write your Envolvable Code with it; You can make your computer write program itself; You can run program without compiling time; You can manage source as data
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  • 4
    jrgp is a strong-typed Genetic Programming system, which features a graphical interface (gool) to setup and run GP-problems and a tool (fs-d) that greatly simplifies the definition of a GP-problem.
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  • 5
    The DragonBreath Engine is a constraint solver based on local search. It features real-time computation, handling of dynamics, structural constraint satisfaction, and an easy way to include domain-specific knowledge.
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  • 6
    Jthello is an othello (reversi) clone written in Java. It is designed to run over a network and to implement/compare different computer player (A.I.)
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  • 7
    OpenAI Realtime Console

    OpenAI Realtime Console

    React app for inspecting, building and debugging with the Realtime API

    openai-realtime-console is a developer tool created by OpenAI that provides a web-based console for experimenting with the Realtime API. The Realtime API enables low-latency, interactive communication with language models, supporting use cases such as live conversations, real-time transcription, and interactive applications. This console serves as a reference implementation, showing how to establish WebRTC or WebSocket connections, send audio or text inputs, and receive model outputs in real time. It is built as a simple frontend that developers can run locally to test and understand how Realtime API interactions work. ...
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  • 8
    This project aim to provide a crowd movement simulation based on primitive human behaviours and emerging behaviours for research and educational purposes. The application (front-end) is generic and can be reused.
    Downloads: 0 This Week
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  • 9
    This project is an implementation of a computational framework that addresses general-interest low-level problems such as real-time synchronization, sound communication and spatial agent mobility.
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  • 10
    This intelligence Service uses data mining and search-engine techniques to get interesting information out of the internet. The information may be about politicians or companies e.g. and covers longer time periods to create a press review for instance.
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  • 11
    Ministral 3 3B Instruct 2512

    Ministral 3 3B Instruct 2512

    Ultra-efficient 3B multimodal instruct model built for edge deployment

    ...As an FP8 instruct-fine-tuned model, it is optimized for chat, instruction following, and compact agentic tasks while maintaining strong adherence to system prompts. Despite its small size, it delivers efficient real-time performance and can run locally on a single 8GB GPU, with further memory reductions through quantization. It supports dozens of languages across major global regions, making it well-suited for multilingual and embedded applications. The model also provides function calling, clean JSON output, and stable tool-use behavior, enabling it to serve as a small but effective agentic system.
    Downloads: 0 This Week
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  • 12
    Ministral 3 3B Base 2512

    Ministral 3 3B Base 2512

    Small 3B-base multimodal model ideal for custom AI on edge hardware

    Ministral 3 3B Base 2512 is the smallest model in the Ministral 3 family, offering a compact yet capable multimodal architecture suited for lightweight AI applications. It combines a 3.4B-parameter language model with a 0.4B vision encoder, enabling both text and image understanding in a tiny footprint. As the base pretrained model, it is not fine-tuned for instructions or reasoning, making it the ideal foundation for custom post-training, domain adaptation, or specialized downstream tasks....
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