Christina Morgenstern's repositories
RetinaOCTImageClassification
Using SinGAN to generate synthetic OCT images to produce a better performing model using Xception network.
awesome-ophthalmology
A curated list of awesome AI developments for ophthalmology
breast_cancer_microarray_clustering
improving clustering of breast cancer microarray data
machine_learning_example
supervised machine learning models on cancer data set
MasterStudies
Projects developed and submitted within Master studies
best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
BINN
Generating biologically informed neural networks
data-science-at-scale
A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using the tools and APIs you know and love from the PyData stack (such as numpy, pandas, and scikit-learn).
demultiplex
Versatile FASTA/FASTQ demultiplexer.
geo2dr
Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.
Machine-Learning-Data-Science-and-Generative-AI-with-Python
Code Repository for Machine Learning, Data Science and Generative AI with Python, Published by Packt
nextflow-workshop
Nextflow workshop materials 27 May 2021
pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
SinGAN
"SinGAN : Learning a Generative Model from a Single Natural Image" in TensorFlow 2
single-cell-tutorial
Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"
singleCellTK
Interactively analyze single cell genomic data
SurvivalAnalysisPapers
A list of papers/resources in Survival Analysis that we have read or would like to read.
Unet-using-TF2
This example demonstrates the use of U-net model for retinal blood vessel segmentation on tensorflow 2.x
workshop_omics_integration
Workshop in omics integration and systems biology