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Automatic architecture search and hyperparameter optimization for PyTorch
LLM-PowerHouse: Unleash LLMs' potential through curated tutorials, best practices, and ready-to-use code for custom training and inferencing.
MedXN is a medication normalization system built upon Apache UIMA framework.
The most popular open source electronic health records and medical practice management solution.
A missing value imputation library based on machine learning. It's implementation missForest, simple edition of MICE(R pacakge), knn, EM, etc....
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
DoubleML - Double Machine Learning in Python
List of surgical tool datasets organised by task.
Python library for implementing Responsible AI mitigations.
Web scraper that pulls in clinical descriptions for a respective Pandas DataFrame containing CPT or ICD-10 codes.
🏥 Medical Text Mining and Information Extraction with spaCy
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
😎 A curated list of awesome MLOps tools
A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profiling data 🚀
GitHub action to add comment when a continue-on-error job fails
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
nannyml: post-deployment data science in python
Open source platform for the machine learning lifecycle
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and l…
Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world datasets and workflows.
Metrics to evaluate quality and efficacy of synthetic datasets.
Generate Diverse Counterfactual Explanations for any machine learning model.
Code for AMIA CRI 2016 paper "Learning Low-Dimensional Representations of Medical Concepts"
repository for Publicly Available Clinical BERT Embeddings