idf-io

ML-Essentials_Uni-Heidelberg

Heidelberg University's "Machine learning essentials" course lectured by Prof. Ulrich Köthe attempts to cover all the essential ML methods from linear classifiers and robust regression to neural networks and reinforcement learning.

bioinformatics-at-the-dkfz

Attended a two-day course in which I acquired essential skills in order to be able to independently carry out a bioinformatics project during a later research stay at the DKFZ.

Data-Science_Playground

Here I practice and test new statistical methods and approaches to data science that I learn.

deNBI-biohackathon_2022

GEMMO-Tools

Tools for genetic effects mapping from paired single-cell multi-omics data

Git-Github_Workshop

Git-Github workshop I held for molecular biotechnology students at Heidelberg University.

idf-io

Config files for my GitHub profile.

ML-and-Stats_Practice

Repository where I try out and practice machine learning, statistics and other coding and data science methods.

SpatialPipe

Systematic standardization and framework integration of public spatial-omics datasets

chrombpnet

Bias factorized, base-resolution deep learning models of chromatin accessibility (chromBPNet)

idf-io/GEMMO-Tools

Tools for genetic effects mapping from paired single-cell multi-omics data

idf-io/Git-Github_Workshop

Git-Github workshop I held for molecular biotechnology students at Heidelberg University.

idf-io/bioinformatics-at-the-dkfz

Attended a two-day course in which I acquired essential skills in order to be able to independently carry out a bioinformatics project during a later research stay at the DKFZ.

idf-io/ML-Essentials_Uni-Heidelberg

Heidelberg University's "Machine learning essentials" course lectured by Prof. Ulrich Köthe attempts to cover all the essential ML methods from linear classifiers and robust regression to neural networks and reinforcement learning.

idf-io/SpatialPipe

Systematic standardization and framework integration of public spatial-omics datasets

idf-io/deNBI-biohackathon_2022

idf-io/idf-io

Config files for my GitHub profile.

idf-io/Data-Science_Playground

Here I practice and test new statistical methods and approaches to data science that I learn.

idf-io/ML-and-Stats_Practice

Repository where I try out and practice machine learning, statistics and other coding and data science methods.