larareichmann

larareichmann's Stars

• openai/openai-cookbook

  Examples and guides for using the OpenAI API

  Language:MDX60.6k8884829.7k

• fastai/fastai

  The fastai deep learning library

  Language:Jupyter Notebook26.4k6031.8k7.6k

• MIT-LCP/mimic-code

  MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

  Language:Jupyter Notebook2.7k1341.2k1.5k

• YerevaNN/mimic3-benchmarks

  Python suite to construct benchmark machine learning datasets from the MIMIC-III 💊 clinical database.

  Language:Python81038116330

• parrt/random-forest-importances

  Code to compute permutation and drop-column importances in Python scikit-learn models

  Language:Jupyter Notebook6022239131

• clinicalml/embeddings

  Code for AMIA CRI 2016 paper "Learning Low-Dimensional Representations of Medical Concepts"

  Language:Python24524477

• parrt/msds692

  MSAN692 Data Acquisition

  Language:HTML127150204

• parrt/msds501

  Course notes for MSDS501, computational boot camp, at the University of San Francisco

  Language:Jupyter Notebook123291102

• yanneta/deep-learning-data-institute

  Repo for the course "Fundamentals of Deep Learning with Pytorch"

  Language:Jupyter Notebook393010

• MalteToetzke/Monitoring-Global-Development-Aid-With-Machine-Learning

  This repository contains the underlying code for the paper "Monitoring Global Development Aid with Machine Learning" by Toetzke, M.; N. Banholzer; and S. Feuerriegel.

  Language:Python123

• MalteToetzke/consistent-and-replicable-estimation-of-bilateral-climate-finance

  This repository contains the underlying code for the paper "Consistent and Replicable Estimation of Bilateral Climate Finance" by Toetzke, M.; A. Stünzi; and F. Egli.

  Language:Jupyter Notebook112

• ioos/qartod

  Language:Python62277

• USF-ML2/notebooks

  Language:Jupyter Notebook66

• cgf1986/MSDS-626-CaseStudy

  MSDS-626 Notebooks

  Language:Jupyter Notebook31