John Barsotti's repositories
lagrangian_nns
Lagrangian Neural Networks
roc-utils
Python package to compute and visualize a ROC analysis
async-pubmed-scraper
PubMed scraper for async search on a list of keywords and concurrent extraction of all found URLs, returning a DataFrame/CSV containing all article data (title, abstract, authors, affiliations, etc)
ann-visualizer
A python library for visualizing Artificial Neural Networks (ANN)
bids2nda
A conversion tool for creating NDA compatible metadata representation from BIDS datasets.
PyTorch-NLP
Basic Utilities for PyTorch Natural Language Processing (NLP)
clinicalBERT
repository for Publicly Available Clinical BERT Embeddings
bloatectomy
A python package for removing duplicate text in clinical notes or other documents
noteMD
Print text from shiny ui (support markdown syntax) to pdf or word report
FES
Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson
Unsupervised-Learning-in-R
Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).
evalue
Code for the R package "EValue" and GUI website.
biobert-pretrained
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Generating-Synthetic-Data-using-GANs
Generating Tabular Synthetic Data using State of the Art GAN architecture
gt
Easily generate information-rich, publication-quality tables from R
clinphen
small update to Bejerano G's clinphen
Multilabel-Image-Classification-using-Contractive-Autoencoder
Implementing contractive auto encoder for encoding cloud images and using that encoding for multi label image classification
medgan
Generative adversarial network for generating electronic health records.
pcIRT
pcIRT is an R package for estimating IRT models for polytomous and continuous item responses. By now, it contains functions to estimate the multidimensional polytomous Rasch model (Rasch, 1961) and the Continuous Rating Scale Model (Müller, 1987)
Shiny_Full_Flow
This app demonstrates the basic work flow from data entry to dynamic report.
rmda
R package to plot decision curves
DADA
code for "DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification"
weirdMath
some examples of "high math" that we can play with
Comorbidity_Index
Python package for comorbidity index calculation
scikit-rvm
Relevance Vector Machine implementation using the scikit-learn API.
BCIT
The following repository contains files to the Bayesian Causal Inference Toolbox.
BayesBoost
Bayesian Optimization using xgboost and sklearn API