rchew

rchew's Stars

• Alalalalaki/Guide2EconRA

  Language:HTML18162

• scikit-learn-contrib/MAPIE

  A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.

  Language:Jupyter Notebook1.3k109

• rguo12/awesome-causality-algorithms

  An index of algorithms for learning causality with data

  2.9k446

• pzivich/zEpid

  Epidemiology analysis package

  Language:Python14133

• RTIInternational/gobbli

  Deep learning with text doesn't have to be scary.

  Language:Python27523

• RTIInternational/SMART

  Smarter Manual Annotation for Resource-constrained collection of Training data

  Language:Python22030

• RTIInternational/rollmatch

  Rolling Entry Matching R Package

  Language:R72

• XDgov/ML-NLP-Resource-List

  people, projects, code, research papers

  42

• hindupuravinash/nips2017

  A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017

  890194

• rlabbe/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook16.6k4.2k