dabrze

CheckMyBlob

Machine learning experiments for CheckMyBlob

imbalanced-stream-generator

MOA compatible imbalanced data stream generator, as described in "The impact of data difficulty factors on classification of imbalanced and concept drifting data streams".

confidence-planner

A Python library for estimating confidence intervals around accuracy and sample sizes for classification experiments.

swirl_courses

A collection of interactive courses for the swirl R package in Polish.

tetrahedron

R code for classifier performance and interestingness measure visualization in 3D barycentric space.

cbb_reproducibility

Repo for CBB seminar on reproducibility

measure_dynamics

Code and scripts accompanying the paper: "On the Dynamics of Classification Measures for Imbalanced Data"

pdb-primary-citation-pdf-extractor

A Python package to download full article PDFs from OA publications

pdb_structure_quality

Reproducible PDB analysis accompanying the paper "On the evolution of the quality of crystallographic models in the PDB".

swirl

Learn R, in R, in Polish.

topsis-msd-improvement-actions

A Python library for creating TOPSIS rankings and visualizing the alternatives in WMSD for interpretation and designing improvement actions

cmb_server_validation

Validation result and clustering code for the CheckMyBlob web server

covid_albumin_levels

cryo-em-ligand-cutter

Code for extracting ligand fragments from cryo-EM difference maps.

genedisco-starter

The starter repository for submissions to the GeneDisco challenge for optimized experimental design in genetic perturbation experiments.

imbalanced-learn

Python module to perform under sampling and over sampling with various techniques.

moa

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

restraintlib-feedstock

A conda-smithy repository for restraintlib.

subsecting_rfe

Python implementation of the k-Subsecting Recursive Feature Elimination algorithm

sugar_conformation

Reproducible CSD analysis accompanying the paper "Conformation-dependent restraints for polynucleotides: The sugar moiety."

topsis-postfactum-dashboard

Dashboard for TOPSIS postfactum analyses and WMSD visualizations