Showing 4 open source projects for "python software"

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  • 1
    Warlock-Studio

    Warlock-Studio

    AI-suite for image and video upscaling and enhancement.

    An open-source desktop application for AI-driven media enhancement, integrating state-of-the-art models for upscaling, restoration, and frame interpolation. Version 2.2 marks a major leap forward in stability and reliability, focused on ensuring your processing jobs run smoothly and complete successfully. Key enhancements: Enhanced Stability: Features a new logging system, proactive environment checks, and safe process management to prevent crashes and facilitate debugging. Resilient...
    Downloads: 17 This Week
    Last Update:
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  • 2
    Qwen2.5-Coder

    Qwen2.5-Coder

    Qwen2.5-Coder is the code version of Qwen2.5, the large language model

    Qwen2.5-Coder, developed by QwenLM, is an advanced open-source code generation model designed for developers seeking powerful and diverse coding capabilities. It includes multiple model sizes—ranging from 0.5B to 32B parameters—providing solutions for a wide array of coding needs. The model supports over 92 programming languages and offers exceptional performance in generating code, debugging, and mathematical problem-solving. Qwen2.5-Coder, with its long context length of 128K tokens, is...
    Downloads: 8 This Week
    Last Update:
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  • 3
    DeepSWE-Preview

    DeepSWE-Preview

    State-of-the-art RL-trained coding agent for complex SWE tasks

    DeepSWE-Preview is a 32.8B parameter open-source coding agent trained solely with reinforcement learning (RL) to perform complex software engineering (SWE) tasks. Built on top of Qwen3-32B, it achieves 59% accuracy on the SWE-Bench-Verified benchmark—currently the highest among open-weight models. The model navigates and edits large codebases using tools like a file editor, bash execution, and search, within the R2E-Gym environment. Its training emphasizes sparse reward signals, test-time...
    Downloads: 0 This Week
    Last Update:
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  • 4
    MiniMax-M1

    MiniMax-M1

    Open-weight, large-scale hybrid-attention reasoning model

    ... for very long sequences. Trained using large-scale reinforcement learning on diverse tasks, it excels in mathematics, software engineering, agentic tool use, and long-context understanding benchmarks. It outperforms other open-weight models like DeepSeek R1 and Qwen3-235B on complex reasoning and coding challenges. MiniMax-M1 is available in two versions with 40K and 80K token thinking budgets, offering scalable performance based on your application needs.
    Downloads: 0 This Week
    Last Update:
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