slipnitskaya
PhD Researcher passionate about solving real-world problems using Machine Learning and AI.
Johannes Gutenberg University MainzGermany
Pinned Repositories
bimodality-ranking
Identification of bimodal genes in scRNA-Seq. - Pipeline designed to rank genes by their expression patterns to showcase the 'exp-runner' Python package at work.
Bird-by-Bird-AI-Tutorials
Collection of Python tutorials on computer vision accompanying the “Bird by Bird Tech” series of articles.
deep-learning-tensorflow-ud730
Deep learning with TensorFlow. - Udacity course (2020).
disaster-response-web-app
Flask web app for classification of disaster messages.
dmcourse-jgu
Dynamic modeling of protein dynamics using Python. - Tutorial materials for Biomedicine MScs students at JGU, Mainz (Stefan Legewie, Sofya Lipnitskaya; 2017-2020).
exp-runner
Simple and extensible framework for data analysis and machine learning experiments in Python.
FAVSeq
FAVSeq is a machine learning-based pipeline for identifying factors affecting the difference between bulk and scRNA-Seq experiments.
IBM_FINANCE_AP19
Deep learning in Finance with Keras. - NVIDIA Deep Learning Institute workshop (Frankfurt, 2019).
image-tagger
Android App for automated image annotation. The accompanying article is available under the link below.
regulAS
regulAS: A Bioinformatics Tool for the Integrative Analysis of Alternative Splicing Regulome using RNA-Seq data.
slipnitskaya's Repositories
slipnitskaya/image-tagger
Android App for automated image annotation. The accompanying article is available under the link below.
slipnitskaya/Bird-by-Bird-AI-Tutorials
Collection of Python tutorials on computer vision accompanying the “Bird by Bird Tech” series of articles.
slipnitskaya/IBM_FINANCE_AP19
Deep learning in Finance with Keras. - NVIDIA Deep Learning Institute workshop (Frankfurt, 2019).
slipnitskaya/exp-runner
Simple and extensible framework for data analysis and machine learning experiments in Python.
slipnitskaya/deep-learning-tensorflow-ud730
Deep learning with TensorFlow. - Udacity course (2020).
slipnitskaya/dmcourse-jgu
Dynamic modeling of protein dynamics using Python. - Tutorial materials for Biomedicine MScs students at JGU, Mainz (Stefan Legewie, Sofya Lipnitskaya; 2017-2020).
slipnitskaya/regulAS
regulAS: A Bioinformatics Tool for the Integrative Analysis of Alternative Splicing Regulome using RNA-Seq data.
slipnitskaya/bimodality-ranking
Identification of bimodal genes in scRNA-Seq. - Pipeline designed to rank genes by their expression patterns to showcase the 'exp-runner' Python package at work.
slipnitskaya/disaster-response-web-app
Flask web app for classification of disaster messages.
slipnitskaya/FAVSeq
FAVSeq is a machine learning-based pipeline for identifying factors affecting the difference between bulk and scRNA-Seq experiments.
slipnitskaya/vision
Datasets, Transforms and Models specific to Computer Vision