didemkorkmaz

didemkorkmaz's Stars

• hendrycks/ethics

  Aligning AI With Shared Human Values (ICLR 2021)

  Language:Python24743

• malteklingenberg/AD-sex-bias

  Language:Python31

• vanderschaarlab/synthcity

  A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.

  Language:Python44759

• raamana/confounds

  Conquering confounds and covariates: methods, library and guidance

  Language:Python3814

• hil-se/FairBalance

  Language:Python1

• pandas-dev/pandas

  Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

  Language:Python43.6k17.9k

• UKPLab/sentence-transformers

  State-of-the-Art Text Embeddings

  Language:Python15.2k2.5k

• ctgk/PRML

  PRML algorithms implemented in Python

  Language:Jupyter Notebook11.4k3.3k

• amontalenti/elements-of-python-style

  Goes beyond PEP8 to discuss what makes Python code feel great. A Strunk & White for Python.

  3.4k259

• black0017/MedicalZooPytorch

  A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

  Language:Python1.7k300

• gameofdimension/xgboost_explainer

  A tool for analyzing feature importance of xgboost model. idea came from R version xgboostExplainer

  Language:Jupyter Notebook4220

• AppliedDataSciencePartners/xgboostExplainer

  An R package that makes xgboost models fully interpretable

  Language:R25169