nudro / covid-resources

Related projects ⓘ

Alternatives and complementary repositories for covid-resources

• wan-yang / COLUMBIA-COVID19-PROJECTIONS-FOR-NYC
  Projections of COVID19 Epidemic Outcomes and Healthcare Demands for NYC
  ☆20Updated this week
• CamDavidsonPilon / lifelike
  WIP predicted survival functions
  ☆37Updated 5 years ago
• mlr-org / mcboost
  Multi-Calibration & Multi-Accuracy Boosting for R
  ☆30Updated last month
• bvegetabile / gpbalancer
  gpbalancer: an R Package for Optimally Balanced Gaussian Process Propensity Score Estimation
  ☆7Updated 5 years ago
• ModelOriented / pyCeterisParibus
  Python library for Ceteris Paribus Plots (What-if plots)
  ☆19Updated 3 years ago
• interpretable-ml / iml
  Interpretable ML package designed to explain any machine learning model.
  ☆61Updated 6 years ago
• ustunb / actionable-recourse
  python tools to check recourse in linear classification
  ☆74Updated 3 years ago
• algofairness / BlackBoxAuditing
  Research code for auditing and exploring black box machine-learning models.
  ☆130Updated last year
• OATML / ucate
  Uncertainty in Conditional Average Treatment Effect Estimation
  ☆27Updated 3 years ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆48Updated 7 months ago
• OATML / causal-bald
  ☆15Updated 10 months ago
• BoulderDS / human-centered-machine-learning
  ☆53Updated 4 years ago
• algofairness / fairness-comparison
  Comparing fairness-aware machine learning techniques.
  ☆159Updated last year
• vdorie / npci
  Non-parametrics for Causal Inference
  ☆43Updated 2 years ago
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆57Updated 3 years ago
• microsoft / horseshoe-bnn
  A Bayesian Neural Network with a horseshoe prior for improved interpretability
  ☆52Updated last year
• nikikilbertus / fairensics
  A python library to discover and mitigate biases in machine learning models and datasets
  ☆20Updated last year
• ustunb / risk-slim
  simple customizable risk scores in python
  ☆132Updated last year
• gpleiss / equalized_odds_and_calibration
  Code and data for the experiments in "On Fairness and Calibration"
  ☆49Updated 2 years ago
• beauCoker / age_of_unfairness
  ☆13Updated 4 years ago
• FluSightNetwork / cdc-flusight-ensemble
  Guidelines and forecasts for a collaborative U.S. influenza forecasting project.
  ☆38Updated 4 years ago
• fairmlbook / fairmlbook.github.io
  ☆31Updated 9 months ago
• almost-matching-exactly / DAME-FLAME-Python-Package
  A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data
  ☆57Updated 5 months ago
• ustunb / slim-python
  simple customizable scoring systems in python
  ☆41Updated last year
• stefangroha / SurvNODE
  ☆15Updated 3 years ago
• ColCarroll / quantile_dotplot
  Python implementation of plot from Kay, Kola, Hullman, Munson "When (ish) is My Bus?" (2016)
  ☆19Updated 4 years ago
• dssg / fairness_tutorial
  Hands-on tutorial on ML Fairness
  ☆69Updated last year
• balajiln / pgbart
  Particle Gibbs for Bayesian Additive Regression Trees
  ☆33Updated 9 years ago
• epidemics / COVIDNPIs
  Data and code for COVID-19 NPI effectiveness estimation.
  ☆30Updated 3 years ago