MochaML's Projects
A curated list of research, applications and projects built using H2O Machine Learning
List of software packages for single-cell data analysis, including RNA-seq, ATAC-seq, etc.
ECP-CANDLE Benchmarks
Cancer Drug Response prediction using a Recommender System
Code for AstraZeneca-Sanger Drug Combination Prediction Challenge
Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), ...)
Project website
Lime: Explaining the predictions of any machine learning classifier
H2O.ai Machine Learning Interpretability Resources
MochaML search engine for open source code with summaries and unit testing. Create standards and workflows. Minimal exectuables and unit testing built on key platforms (such as Ubuntu 18.04).
Prioritization of Genes Enhanced with Network Information
Gene isoforms as expression-based biomarkers predictive of drug response in vitro
Mirror of www.bioconductor.org/packages/release/bioc/src/contrib/SCAN.UPC_2.20.0.tar.gz
Code & presentation for the 'H2O AutoML' short course at SDSS 2018 in Reston, VA