Bayesian Modeling and Probabilistic Programming in Python
GPs in PyTensor
Distributed, differentiable and async graph computation for PyTensor
I created a A Multi-Task Bidirectional LSTM with Attention designed for longitudinal clinical prediction. This model was trained on synthetic MIMIC data and processes the patients history to make predictions on the chance of their death based on the length of their stay
Estimating Cox Proportional hazards coefficients for for both breslow and efron ties, using both autograd and directly calculating the gradient and hessian
Bayesian Modeling and Probabilistic Programming in Python
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