lukashina
Machine learning on graphs, ML applications in biology and chemistry, software engineering.
Jetbrains; University of StuttgartStuttgart, Germany
Pinned Repositories
lipophilicity-prediction
Code for "Lipophilicity Prediction with Multitask Learning and Molecular Substructures Representation" paper. Machine Learning for Molecules Workshop @ NeurIPS 2020
ml-intro
Repository for Introduction to Machine Learning course
simvec
bioinf_ml-1
graph_alg_coursera
Repository for course "Algorithms on Graphs" (https://www.coursera.org/learn/algorithms-on-graphs/home/info)
ml_summer_school_2020
Repository for JetBrains ML Summer School 2020
mlops_coursera
Machine Learning for Production Specialization (https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops)
TDC
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development
tgn
TGN: Temporal Graph Networks
lukashina's Repositories
lukashina/bioinf_ml-1
lukashina/graph_alg_coursera
Repository for course "Algorithms on Graphs" (https://www.coursera.org/learn/algorithms-on-graphs/home/info)
lukashina/ml_summer_school_2020
Repository for JetBrains ML Summer School 2020
lukashina/mlops_coursera
Machine Learning for Production Specialization (https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops)
lukashina/TDC
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development
lukashina/tgn
TGN: Temporal Graph Networks