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@bio-datascience

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Vlasovets/README.md

About me

  • 🧐 PhD Candidate @Helmholtz Munich and @LMU München

  • ☕ Machine learning / Data Science backround

  • 🦠 Currently studying bacteria in our gut

Oleg's github stats

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  1. GGLasso GGLasso Public template

    Forked from fabian-sp/GGLasso

    Implementations for solving the Group and Fused Graphical Lasso problem

    Python

  2. Deep_learning_course_assistantship Deep_learning_course_assistantship Public

    Creating home assignments for studetns taking Deep learning course in Aalto Univerity

    Jupyter Notebook

  3. q2-classo q2-classo Public

    Forked from Leo-Simpson/q2-classo

    Constrained sparse regression and classification

    Python

  4. q2-gglasso q2-gglasso Public

    QIIME 2 plugin which contains algorithms for solving General Graphical Lasso (GGLasso) problems

    Python 1 1

  5. Causal_Sparse_Low_Rank_Microbiome_Tutorial Causal_Sparse_Low_Rank_Microbiome_Tutorial Public

    A tutorial for using a randomization-based causal inference framework with sparse+low-rank graphical models in microbiome data analysis.

    Python

  6. ProDG ProDG Public

    a Python library for generating synthetic data based on different probability distributions. It's specifically designed for prokaryotic data but can be used for any zero-inflated compositional data.

    Python 1 1