Alternatives and similar repositories for nurse-scheduling

Users that are interested in nurse-scheduling are comparing it to the libraries listed below

• ogencoglu / causal_twitter_modeling_covid19
  Source code for the paper "Causal Modeling of Twitter Activity during COVID-19". Computation, 2020.
  ☆10Updated last year
• KevinFasusi / supplychainpy_notebooks
  Jupyter Notebooks for supplychainpy
  ☆22Updated 8 years ago
• hugopalmer / assortment_optimization
  Source code from my Master's thesis @Polytechnique Montréal. A solution to the assortment optimization problem, able to deal with large n…
  ☆19Updated 8 years ago
• paperd / tensorflow
  TensorFlow materials
  ☆13Updated 4 years ago
• mengchillee / AutoAudit
  Code for paper "AutoAudit: Mining Accounting and Time-Evolving Graphs" (Big Data 2020)
  ☆16Updated last year
• vcerqueira / vest
  Automatic Feature Engineering for Time Series
  ☆17Updated 2 years ago
• Mohshaikh23 / Dynamic-Pricing-Strategy
  Adjusting the prices of a product or service based on various factors in real time
  ☆17Updated last year
• stefan-jansen / topic-modeling
  ☆14Updated 2 years ago
• AdrianAntico / RetroFit
  Automation of feature engineering, machine learning, model evaluation, model interpretation, eda, forecasting, recommender systems and mo…
  ☆16Updated last year
• tomlinsonk / choice-set-opt
  Code accompanying our ICML 2020 paper on choice set optimization in group decision-making.
  ☆11Updated 4 years ago
• vcerqueira / MLforForecasting
  Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters
  ☆41Updated 5 years ago
• cacoderquan / Predict-financial-recession
  The major goal of this project is to predict financial re- cession given the frequencies of the top 500 word stems in the reports of fina…
  ☆15Updated 10 years ago
• mihirk11 / Movie-recommendation-system-using-Bayesian-Network
  Movie recommendation system based on movielens dataset. Bayesian approach used to predict likely rating of the movie
  ☆12Updated 8 years ago
• jacobkrantz / VertMetric
  VertMetric: An abstractive summarization evaluation package. VERT stands for Versatile Evaluation of Reduced Texts.
  ☆11Updated 6 years ago
• WenchenLi / q-learning-trader
  tabular q learning for trading
  ☆12Updated 6 years ago
• mllite / sklearn_explain
  Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.
  ☆13Updated 4 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆25Updated 5 years ago
• felixleopoldo / trilearn
  Bayesian structure learning and classification in decomposable graphical models.
  ☆11Updated last year
• ajmazurie / xstats.MINE
  Python wrapper for the Java-based Maximal Information-based Nonparametric Exploration (MINE) statistics library
  ☆19Updated 13 years ago
• tblume1992 / BetaBoost
  A small wrapper to do Beta Boosting with XgBoost
  ☆15Updated 3 years ago
• open-risk / correlationMatrix
  correlationMatrix is a Python powered library for the statistical analysis and visualization of correlations
  ☆14Updated 5 months ago
• Maween / PyPME
  Assisting utility functions for calculation of Private Equity Public Market Equivalent (PME) measures using Python. Natively compatible w…
  ☆12Updated 7 years ago
• nitish6174 / video-search-engine
  Flask-based application using MySQL, MongoDB and Neo4j for storing video data and provides interface to search video and show related vid…
  ☆10Updated 8 years ago
• open-risk / openSecuritisation
  Demonstrating technical elements in support of open source securitisation frameworks
  ☆13Updated 9 months ago
• omarsar / emotion_analysis_elastic_pytorch
  Deep Emotion Analysis with Elastic and PyTorch
  ☆16Updated 6 years ago
• yiaktan / Secondhand_Concert_Tickets
  ☆16Updated 7 years ago
• jacopotagliabue / clothes-in-space
  Personalization with deep learning in 100 lines of code
  ☆15Updated 2 years ago
• daattali / statsTerrorismProject
  Final project for STAT545A - Terrorist activity data analysis
  ☆20Updated 5 years ago
• yaronshap / GloballyConsistentRules
  Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…
  ☆25Updated 3 years ago
• amit-sharma / splitdoor-causal-criterion
  A method for estimating causal effects in time-series data. Uses available data to automatically find natural experiments for identifying…
  ☆15Updated 5 years ago