chakradharr

chakradharr's Stars

• ksuresh17/autoSurv

  Language:R166

• mim-solutions/bert_for_longer_texts

  BERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, intermediate results are pooled. The implementation allows fine-tuning.

  Language:Python11227

• clinicalml/omop-learn

  Python package for machine learning for healthcare using a OMOP common data model

  Language:Python10226

• Shivanandroy/Study-Materials

  241

• paulb17/Machine-Powered-Investing-in-Lending-Club

  Language:Jupyter Notebook63

• klemag/pydata_nyc2018-intro-to-model-interpretability

  Notebook and slides for my talk at Pydata NYC 2018

  Language:Jupyter Notebook8855

• datasciencescoop/Data-Science--Cheat-Sheet

  Cheat Sheets

  Language:TeX18.3k

• idealo/jenkins-ci

  Minimal example to setup a Jenkins-CI pipeline for data science projects on OpenShift in a couple of minutes.

  Language:Dockerfile2718

• random-forests/tutorials

  Language:Jupyter Notebook526923

• jupyter/jupyter

  Jupyter metapackage for installation, docs and chat

  Language:Python14.9k4k

• justmarkham/scikit-learn-videos

  Jupyter notebooks from the scikit-learn video series

  Language:Jupyter Notebook3.7k2.5k