Skip to content
@gmum

GMUM

Group of Machine Learning Research, Jagiellonian University

Popular repositories Loading

  1. huggingmolecules huggingmolecules Public

    Python 122 19

  2. pykernels pykernels Public

    Python library for working with kernel methods in machine learning

    Python 119 38

  3. points2nerf points2nerf Public

    Points2NeRF

    Python 74 9

  4. ViewingDirectionGaussianSplatting ViewingDirectionGaussianSplatting Public

    Python 63 4

  5. geo-gcn geo-gcn Public

    The official implementation of the SGCN architecture.

    Python 62 18

  6. VeGaS VeGaS Public

    VeGaS: Video Gaussian Splatting

    Python 47 2

Repositories

Showing 10 of 121 repositories
  • fewsound Public
    gmum/fewsound’s past year of commit activity
    Python 3 1 1 0 Updated Apr 3, 2025
  • MPSI Public
    gmum/MPSI’s past year of commit activity
    Jupyter Notebook 6 0 0 0 Updated Apr 3, 2025
  • PALATE Public
    gmum/PALATE’s past year of commit activity
    Python 0 Apache-2.0 0 0 0 Updated Apr 1, 2025
  • b-lora-xs Public

    Code for: Minimal Ranks, Maximum Confidence: Parameter-efficient Uncertainty Quantification for LoRA

    gmum/b-lora-xs’s past year of commit activity
    Python 0 0 0 0 Updated Mar 31, 2025
  • FeNeC Public
    gmum/FeNeC’s past year of commit activity
    Jupyter Notebook 1 0 0 0 Updated Mar 25, 2025
  • HyConEx Public
    gmum/HyConEx’s past year of commit activity
    Python 0 0 1 0 Updated Mar 18, 2025
  • mldd25 Public

    The repository for the course "Machine Learning in Drug Design" at the Jagiellonian University in 2025. The page is hosted by the machine learning research group GMUM.

    gmum/mldd25’s past year of commit activity
    Jupyter Notebook 4 0 0 0 Updated Mar 16, 2025
  • HyperPlanes Public
    gmum/HyperPlanes’s past year of commit activity
    Python 2 0 1 0 Updated Mar 4, 2025
  • beta-CFG Public

    This paper presents β-CFG, a dynamic guidance method for text-to-image diffusion models. Unlike standard CFG, which uses a fixed guidance scale, β-CFG adapts guidance strength over time using a β-distribution. This improves image quality, keeps sampling closer to the data manifold, and achieves better FID while maintaining prompt alignment.

    gmum/beta-CFG’s past year of commit activity
    Python 1 0 0 0 Updated Mar 2, 2025
  • VeGaS Public

    VeGaS: Video Gaussian Splatting

    gmum/VeGaS’s past year of commit activity
    Python 47 2 1 0 Updated Feb 27, 2025

Top languages

Loading…

Most used topics

Loading…