In which I play with the ideas surrounding causality
MIT License
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Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about ...
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and ...
Library to conduct experiments in population dynamics.
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
A Python library that helps data scientists to infer causation rather than observing correlation.
Combinatorial Complex Score-based Diffusion model using stochastic differential equations
Python Data Science Handbook: full text in Jupyter Notebooks
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Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
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Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Ka...
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