Search Results for "linux programming" - Page 77

1919 projects for "linux programming" with 1 filter applied:

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  • 1
    Pinnus is a project management tool for Extremme Programming. The program offers options to control stories, iterations and participates of a project. It is based on Eclipse Rich Client Platform and uses HSQLDB database .
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  • 2
    The main goal of BASIC foundry on SourceForge is to gather all developers that works something related to BASIC programming language in order to help creation of fast, stable, cross-platform, OPEN SOURCE BASIC compiler.
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  • 3
    Open source Application and Data Integration Platform that allows developers and end-users to integrate and transform information using a web-based drag-and-drop interface that doesn't require coding or programming skills.
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  • 4
    jMARS is a java implementation of the famous "Core Wars" application first described by A.K. Dewdney. Using eXtreme Programming combined with Java, EJB, and the Rich Client Platform it can be used as an educational tool to understand these technologies
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  • 5
    The aim of the project is to write an distributed object compiler/interpreter. Object reside on special server and can be accessed in a java/c++ style programming language through a network. This project is currently being renamed please check http://obj
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  • 6
    A conversion of the Quake 3 Arena source code from the C programming language to the C++ language. Secondary goal is to rewrite the Quake Virtual Machine to be compatible with the new code.
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  • 7
    Adapt is data conversion language developped in 1984 by Norman W. Molhant and Christophe Dupriez. It has been used in many circumstances, it translated itself in many programming environment and it should evolve now toward modern environments like Java.
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  • 8
    a distributed engine for abstract neural network development via natural-language programming
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  • 9

    Testerman

    A TTCN-3-inspired testing environment in Python

    Testerman is an attempt to produce a TTCN-3 inspired test automation system without the strict typing model of the TTCN-3 test control notation that can be too heavy to be practical with non-stricly defined protocols. This is achieved by bringing TTCN-3 primitives and concepts to the Python programming language. It provides a complete environment to design, manage, execute and analyze automated tests, and can be used as a platform to develop test simulators (drivers and stubs) and...
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  • 10

    Emerald Dragon Engine

    A 2D Java game engine

    A light, Java based 2D game engine. Easy to use, powerful when you need it, no unneeded bells and whistles to slow you down.
    Downloads: 0 This Week
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  • 11

    Control-Freak

    Visual Automation & UI Authoring

    This is a general purpose tool optimized for managing, programming and automating machines, services and apps or just loose parts of code snippets. It comes with a visual block language and a visual GUI designer which lets you inter connect and automate all sorts of devices. It has built-in support for TCP, UDP, Serial, MQTT, SSH, Arduino/Raspberry-PI or access to your custom API via HTTP. Public Homepage: http://pearls-media.com/control-freak/ On Github:...
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  • 12

    Firefly's Clean Lzo

    A human-readable ISC-Licensed implementation of the LZO1X algorithm.

    LZO is a compression library which is widely used around the world. The main problem with LZO is that it is absolutely not human readable. People have done crazy stuff to get LZO to run in their language. Usually it implies inline assembly or trying to execute data which actually contains machine code. This is sick. Whoever is responsible for this sorry situation ought to be ashamed. So I'm going to deobfuscate LZO and provide a ISC implementation of this algorithm in Python and C. In...
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  • 13
    MiniMax-M2.7

    MiniMax-M2.7

    Self-evolving AI model for agents, coding, and complex workflows

    MiniMax-M2.7 is a large-scale open-weight language model designed for advanced agent-based workflows, professional software engineering, and complex productivity tasks. With 229B parameters, it introduces a self-evolution framework in which the model actively improves its own capabilities by updating memory, generating skills, and iterating through reinforcement learning experiments. This process enables it to autonomously refine systems, achieving measurable performance gains such as a 30%...
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  • 14

    interbreed

    HA Java Server - distributed Execution, noSQL, MapAndReduce and Grid

    The intension of the interbreed project is combine some of the promising new technologies (like Grid, noSQL Database Cassandra, OSGI and MapAndReduce) into one server architecture and ease the development of modern high scalability, high performance applications. The Api based upon easy to use annotationed pojo's to encapsulate the complexity of this modern technologies. The goal is the make programming noSQL, MapAndReduce and DistributedExecution in a high scalar environment as easy as...
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  • 15

    Blender HW Project

    Create a hardware front end for Blender UI and gaming engine.

    ...This person must have the necissary Hardware components for at least an Arduino proof of concept. This project will be seeking a professional Python developer with knowledge of Serial devices on Windows, Linux, and Mac to verify code created by this project. I will setup a placeholder page in the next few days to serve as a conceptual overview of this project. Thank you for your interest!
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  • 16
    Nemotron 3.5 Lightning

    Nemotron 3.5 Lightning

    Efficient 30B MoE model for long-running agents and local inference

    NVIDIA Nemotron 3.5 Lightning 30B-A3B NVFP4 is an open large language model optimized for efficient autonomous agents, sub-agent deployments, and local inference. It uses a hybrid Mixture-of-Experts architecture combining Mamba-2, MoE, and selected attention layers, with 30B total parameters but only 3B active during inference. The model supports context windows up to 1 million tokens, enabling long-running workflows and large-context reasoning. Its NVFP4 quantization reduces deployment...
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  • 17
    Inkling-Small

    Inkling-Small

    Efficient multimodal MoE model for coding, tools, and reasoning

    Inkling-Small is an open-weight general-purpose multimodal model from Thinking Machines Lab, designed for agentic systems, coding assistants, chatbots, retrieval workflows, and natural-language applications. It accepts text, images, and audio as input and produces text output, with multilingual and multi-programming-language capabilities. The model uses a sparse Mixture-of-Experts architecture with 276B total parameters and 12B active per token, enabling strong performance with lower...
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  • 18
    Mellum-4b-base

    Mellum-4b-base

    JetBrains’ 4B parameter code model for completions

    Mellum-4b-base is JetBrains’ first open-source large language model designed and optimized for code-related tasks. Built with 4 billion parameters and a LLaMA-style architecture, it was trained on over 4.2 trillion tokens across multiple programming languages, including datasets such as The Stack, StarCoder, and CommitPack. With a context window of 8,192 tokens, it excels at code completion, fill-in-the-middle tasks, and intelligent code suggestions for professional developer tools and IDEs....
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  • 19
    Kimi K2.7 Code

    Kimi K2.7 Code

    Coding-focused Kimi model for long-horizon agent workflows

    Kimi K2.7 Code is a coding-focused agentic model built on Kimi K2.6, designed for long-horizon software engineering, autonomous coding workflows, and complex tool-based execution. It improves end-to-end task completion across real-world programming scenarios while reducing thinking-token usage by about 30% compared with K2.6. Architecturally, it uses a 1T-parameter Mixture-of-Experts design with 32B activated parameters, 61 layers, 384 experts, a 256K-token context window, and a MoonViT...
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