Showing 4 open source projects for "sgm"

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  • 1
    ColomboGMGS2 Soundfont V16.9

    ColomboGMGS2 Soundfont V16.9

    A custom MIDI soundfont that happens to sound accurate

    ...ColomboGMGS2 supports GM2/GS and Yamaha XG drum mappings within a single SF2 file, covering all key melodic presets and SFX, along with a few fresh additions like Gatabera, Raban, Trap Kit, Reggae Kit, and more. Apart from a few instruments I recorded myself, most samples come from famous soundfont creators such as Maxime Abbey (Arachno), David Shan (SGM), Cose Vidal (Musyng), OpenWrld (Chorium), and Rick Simon (OmegaGMGS2). The active development of ColomboGMGS2 is driven by my perfectionist side and I’m thankful to everyone who’s used, supported, and shared feedback on ColomboGMGS2. You’ve all helped it grow into what it is today.
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    Downloads: 128 This Week
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  • 2
    StudioGAN

    StudioGAN

    StudioGAN is a Pytorch library providing implementations of networks

    ...Moreover, StudioGAN provides an unprecedented-scale benchmark for generative models. The benchmark includes results from GANs (BigGAN-Deep, StyleGAN-XL), auto-regressive models (MaskGIT, RQ-Transformer), and Diffusion models (LSGM++, CLD-SGM, ADM-G-U). StudioGAN is a self-contained library that provides 7 GAN architectures, 9 conditioning methods, 4 adversarial losses, 13 regularization modules, 6 augmentation modules, 8 evaluation metrics, and 5 evaluation backbones. Among these configurations, we formulate 30 GANs as representatives. Each modularized option is managed through a configuration system that works through a YAML file.
    Downloads: 0 This Week
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  • 3
    EPR-Bohm
    Simulation of EPR-Bohm like experiments on entangled particles using local hidden variables to challenge the quantum interpretation of the Bell-inequalities
    Downloads: 0 This Week
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  • 4

    sgmweka

    Weka wrapper for the SGM toolkit for text classification and modeling.

    Weka wrapper for the SGM toolkit for text classification and modeling. Provides Sparse Generative Models for scalable and accurate text classification and modeling for use in high-speed and large-scale text mining. Has lower time complexity of classification than comparable software due to inference based on sparse model representation and use of an inverted index.
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    Downloads: 19 This Week
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