Vladimir Chupakhin's repositories
awesome-ls-ventures
Awesome list of the data and AI/ML related projects with direct Life Science Companies participation
PaddleHelix
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
2022_Haghighi_NatureMethods
High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
2023_Moshkov_NatComm
Predicting assays Using Morphological Analysis
awesome-cadd
Awesome CADD repositories
awesome-chemical-data
Curated list of known efforts in collecting and/or curating of chemical/materials data
explainerdashboard
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
gradient_boosting_CLF
Repository for reproducing the results presented in the paper "Tuning gradient boosting for imbalanced bioassay modelling".
node
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
nonconformist
Python implementation of the conformal prediction framework.
effective_xgboost_book
Fixing an effective_xgboost_book
ez_enaminetor
Set of scripts to work with Enamine REAL chemical spaces
qsar_sets
Various QSAR datasets
QuantPharmacophore
Code available for the quantitative pharmacophores
rdkit_utils
Various rdkit wrappers and related functions
scaling_matters
Code, data and results used in the research paper "The choice of scaling technique matters for classification performance"
scientific-visualization-book
An open access book on scientific visualization using python and matplotlib