Theo Rashid ┣━━ code for me ┃ ┣━━ probabilistic-programming-packages - same forecasting model, different PPLs ┃ ┣━━ mortality-statsmodel - scalable, Bayesian spatiotemporal models for mortality ┃ ┣━━ bayesian-envhealth-models - Bayesian models for environmental health ┃ ┗━━ cookiecutter-r-project - template for analysis project in R ┣━━ code I helped with ┃ ┣━━ numpyro - probabilistic programming, jax backend ┃ ┣━━ pymc - probabilistic programming, pytensor backend ┃ ┣━━ pytensor - python C/jax/numba tensor library ┃ ┣━━ bayeux - inference for Bayesian models in jax ┃ ┗━━ GPJax - Gaussian processes in jax ┣━━ code I would like to work on ┃ ┣━━ blackjax - samplers in jax ┃ ┣━━ dynamax - state space models in jax ┃ ┗━━ nimble - probabilistic programming in R, customisable samplers ┗━━ work ┣━━ Amazon - Applied Scientist, probabilistic forecasting ┣━━ Faculty - Data Science Fellow ┣━━ Freelance - Loamin, Robbie Parks, Columbia, Seth Flaxman, Oxford ┣━━ Amazon - Applied Scientist intern ┗━━ Imperial College London ┣━━ PhD, Biostatistics - Scalable spatiotemporal mortality modelling ┃ ┣━━ thesis - thesis, written in quarto ┃ ┗━━ thesis-analysis - code for postprocessing and plotting in thesis ┗━━ MSci, Theoretical Physics - Mostly maths Read what I'm learning.
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pymc-devs/pymc
pymc-devs/pymc PublicBayesian Modeling and Probabilistic Programming in Python
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pyro-ppl/numpyro
pyro-ppl/numpyro PublicProbabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
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probabilistic-programming-packages
probabilistic-programming-packages PublicTrying out different probabilistic programming packages on the same statistical model
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mortality-statsmodel
mortality-statsmodel PublicMortality using bayesian hierarchical modelling
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sparklabnyc/cookiecutter-r-project
sparklabnyc/cookiecutter-r-project PublicTemplate for analysis project in R
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