Pavlin Poličar's starred repositories
pybind_examples
Examples of pybind11 based projects (using cmake)
pybind11_examples
Examples for the usage of "pybind11"
pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
fuzzywuzzy
Fuzzy String Matching in Python
umi-normalization
Companion repository to Lause, Berens & Kobak (2021): "Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data", Genome Biology
graphml-tutorials
Tutorials for Machine Learning on Graphs
pytorch_geometric
Graph Neural Network Library for PyTorch
procedural-landmass
Generate procedural landmass in Unity
PyNET-Bokeh
Rendering Realistic Bokeh Images with PyNET
python-ternary
:small_red_triangle: Ternary plotting library for python with matplotlib
PoincareMaps
The need to understand cell developmental processes has spawned a plethora of computational methods for discovering hierarchies from scRNAseq data. However, existing techniques are based on Euclidean geometry which is not an optimal choice for modeling complex cell trajectories with multiple branches. To overcome this fundamental representation issue we propose Poincaré maps, a method harnessing the power of hyperbolic geometry into the realm of single-cell data analysis.