7 packages found

causal-learn

causal-learn Python Package
  1. causal
  2. causal-discovery
  3. causal-inference
  4. causal-representation-learning
  5. causality
  6. confounder
  7. graph
  8. hidden-causal
  9. independence-tests
  10. python
  11. statistics
  12. structure
  13. tetrad
  14. time-series
37 Contributors
0.1.4.1published 1 month agoMIT

ylearn

A python package for causal inference
  1. causal-discovery
  2. causal-inference
  3. causal-models
  4. causality
  5. causality-algorithms
  6. causality-analysis
  7. policy-learning
  8. uplift
  9. uplift-modeling
0.2.0published 2 years agoApache-2.0

eliot

Logging library that tells you why it happened
  1. logging
  2. asyncio
  3. causality
  4. causality-analysis
  5. causation
  6. dask
  7. elasticsearch
  8. journald
  9. logging-library
  10. numpy
  11. python
  12. scientific-computing
  13. tracing
  14. twisted
15 Contributors
1.17.5published 2 months agoApache-2.0

FIRSTBEATLU

This package contains several methods for calculating Conditional Average Treatment Effects
  1. treatment-effect
  2. causal-inference
  3. causality
  4. econometrics
  5. economics
  6. machine-learning
  7. treatment-effects
35 Contributors
0.13.1published 3 years agoMIT

nonlincausality

Python package for Granger causality test with nonlinear (neural networks) forecasting methods.
  1. Granger
  2. causality
  3. neural
  4. networks
  5. nonlinear
  6. forecasting
  7. signals
  8. causality-analysis
  9. causality-test
  10. granger-causality
  11. gru-neural-networks
  12. lstm-neural-networks
  13. multilayer-perceptron-network
  14. neural-networks
  15. nonlinear-causality
  16. nonlinear-models
  17. prediction
  18. python
  19. recurrent-neural-networks
  20. time-series
2.0.2published 1 year agoMIT

econml

This package contains several methods for calculating Conditional Average Treatment Effects
  1. treatment-effect
  2. causal-inference
  3. causality
  4. econometrics
  5. economics
  6. machine-learning
  7. treatment-effects
35 Contributors
0.15.1published 10 months agoMIT

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions
  1. causality
  2. machine-learning
  3. causal-inference
  4. statistics
  5. graphical-model
  6. bayesian-networks
  7. causal-machine-learning
  8. causal-models
  9. data-science
  10. do-calculus
  11. graphical-models
  12. python3
  13. treatment-effects
96 Contributors
0.12published 5 months agoMIT
Showing 1 to 7 of 7 results