Showing 4 open source projects for "compressor"

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  • 1
    Compressor

    Compressor

    An android image compression library

    Compressor is a lightweight and powerful android image compression library. Compressor will allow you to compress large photos into smaller sized photos with very less or negligible loss in quality of the image. Compressor now is using Kotlin coroutines! Stay cool compress image asynchronously with RxJava! Licensed under the Apache License.
    Downloads: 1 This Week
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  • 2
    Butteraugli

    Butteraugli

    Estimates the psychovisual difference between two images

    ...The core tool outputs a single “distance” score along with per-pixel or per-region maps that show where artifacts are most objectionable. These maps make it practical to tune compressor settings and confirm whether bitrate reductions are visually acceptable. The metric has become a common yardstick for objective image quality when comparing codecs or encoder tweaks that target web or mobile delivery. Because it is deterministic and fast, it can be used in automated pipelines to gate releases on visual quality, not just file size.
    Downloads: 1 This Week
    Last Update:
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  • 3
    NASH OS

    NASH OS

    Nash Operating System for Modern Ecommerce

    The all-built-in-one, automatic, ready-to-go out-of-box, easy-to-use state-of-the-art, and really awesome NASH OS! Over 25,000+ flexible features and controls and all scalable!! The most powerful solution ever built to instantly deliver new heights of online ecommerce enterprise to you.
    Downloads: 3 This Week
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  • 4
    Mistral Large 3 675B Instruct 2512 NVFP4

    Mistral Large 3 675B Instruct 2512 NVFP4

    Quantized 675B multimodal instruct model optimized for NVFP4

    ...This NVFP4 checkpoint is a post-training-activation quantized version of the original instruct model, created through a collaboration between Mistral AI, vLLM, and Red Hat using llm-compressor. It retains the same instruction-tuned behavior as the FP8 model, making it ideal for production assistants, agentic workflows, scientific tasks, and long-context enterprise systems. The model integrates a 673B-parameter MoE language backbone with a 2.5B-parameter vision encoder, enabling rich multimodal analysis across text and images. ...
    Downloads: 0 This Week
    Last Update:
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