Stars
High performance Python GLMs with all the features!
PyTorch Tutorial for Deep Learning Researchers
Single-cell Analysis of Perturbational Effects using Machine Learning
Google Coding Competitions problem archive
GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
Gene regulatory network containing signed transcription factor-target gene interactions
A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.
Create beautiful, print quality maps of the night sky in R
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
A scanpy extension to analyse single-cell TCR and BCR data.
https://www.sc-best-practices.org
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
Fit interpretable models. Explain blackbox machine learning.
Python package for graph neural networks in chemistry and biology
Python module to analyse CRISPR-based libraries
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
CellBox: Interpretable Machine Learning for Perturbation Biology
PPCU FIT Molecular Bionics Engineering BSc thesis: Functional genomic analysis of single cell RNA sequencing data from drug perturbed cancer cell lines
Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
Predicting Cell Health with Morphological Profiles