Pinned Repositories
medicare-fraud-detection
A machine learning based application to help detect fraud among Medicare practitioners.
sandeshregmi's Repositories
sandeshregmi/auto_ml
[UNMAINTAINED] Automated machine learning for analytics & production
sandeshregmi/Awesome-CV
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
sandeshregmi/clinical-outcome-prediction
Code for the EACL 2021 Paper: Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration
sandeshregmi/CommonDataModel
Definition and DDLs for the OMOP Common Data Model (CDM)
sandeshregmi/D4
Deep drug-drug interaction discovery and demystification (D4)
sandeshregmi/disaster-tweets-classifier
Classifying tweets about or not about disasters
sandeshregmi/dissertation
PhD dissertation code for 3 studies
sandeshregmi/explainingtitanic
A Dash dashboard app that that displays model quality, permutation importances, SHAP values and interactions, and individual trees for sklearn RandomForestClassifiers.
sandeshregmi/Fine-Tuning-BERT
sandeshregmi/gluon-nlp
NLP made easy
sandeshregmi/HealthCareFraudDetection
sandeshregmi/icd-prediction-mimic
Predicting ICD Codes from Clinical Notes
sandeshregmi/imbalanced-semi-self
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
sandeshregmi/Med-BERT
Med-BERT, contextualized embedding model for structured EHR data
sandeshregmi/mlbook
Repository for the free online book Machine Learning from Scratch (link below!)
sandeshregmi/modelops-playground
Experiments and use cases for model monitoring and updating š§®
sandeshregmi/NA-in-medication-study
Stata syntax for creating an edge list of co-medicated drugs. R syntax for creating some network examples
sandeshregmi/Patient-Experience-Analysis
Building Machine Learning models to predict patient experience, dig deeper on the important factors influence Patient Experience, which is benefit for healthcare providers' decision-making and strategy-making process, to improve their service and enhance patients relationship.
sandeshregmi/Python-for-Epidemiologists
Tutorial in Python targeted at Epidemiologists. Will discuss the basics of analysis in Python 3
sandeshregmi/Pytorch-Project-Template
A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.
sandeshregmi/Reproducible-ML-Reports-with-YAML-Configs
we will explore the process of building and managing machine learning reports using the configuration files and generate HTML reports. For this simple machine learning project, I will use the Breast Cancer Wisconsin (Diagnostic) Data Set. The objective of this ML project is to predict whether a person has a benign or malignant tumor.
sandeshregmi/rTorch
PyTorch bindings for R
sandeshregmi/Semi-Supervised-NLP-for-MedReport-Classification
NLP pipeline with a semi-supervised LSTM model, to automate fine-grained medical report classification and cohort generation with a small training set. Work conducted at MGH & BWH Center for Clinical Data Science.
sandeshregmi/SMM4HRxSpace
sandeshregmi/tabnet
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
sandeshregmi/templates_ml
sandeshregmi/Text_Classification
Text Classification Algorithms: A Survey
sandeshregmi/the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
sandeshregmi/usemodels
Boilerplate Code for tidymodels
sandeshregmi/WhyR_scraping
Code used in the examples shown during the WhyR? webinar 'What makes a good (fantasy) football manager? - webscraping and data analysis in R' by Joseph O'Brien