probml/pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

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elizavetasemenova/prob-epi

Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"

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phuijse/BLNNbook

Bayesian Learning and Neural Networks (jupyter book sources)

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felipeangelimvieira/prophetverse

A multiverse of Prophet models for timeseries

Language: Python - Size: 52 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 47 - Forks: 5

theosanderson/chronumental

Estimating time trees from very large phylogenies

Language: Python - Size: 2.39 MB - Last synced at: 3 days ago - Pushed at: 9 months ago - Stars: 26 - Forks: 7

wcxve/elisa

Efficient library for spectral analysis in high-energy astrophysics.

Language: Python - Size: 13.5 MB - Last synced at: 2 days ago - Pushed at: 3 days ago - Stars: 14 - Forks: 4

jecampagne/JaxTutos

JAX Tutorial notebooks : basics, crash & tips, usage of optax/JaxOptim/Numpyro

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ramsey-devs/ramsey

Probabilistic deep learning using JAX

Language: Python - Size: 3.38 MB - Last synced at: 9 days ago - Pushed at: 3 months ago - Stars: 13 - Forks: 3

beekill95/numpyro-doing-bayesian

My implementation of John K. Kruschke's Doing Bayesian Data Analysis 2nd edition using Python and Numpyro.

Language: Python - Size: 190 MB - Last synced at: 17 days ago - Pushed at: about 1 year ago - Stars: 7 - Forks: 1

edwarddramirez/derivative-tinygp

Summary notebooks using derivative gaussian processes with tinygp. We implement a 2D derivative gaussian process and successfully use derivatives to regularize SVI fits with a gaussian process model..

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smsharma/deep-prob-prog-tutorials

Tutorials for the 2022 IAIFI Summer School, covering (deep) probabilistic programming with Jax and NumPyro.

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nolanbconaway/shabadoo

Very easy Bayesian regression.

Language: Python - Size: 1.76 MB - Last synced at: 9 days ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

edwarddramirez/sparse-tinygp

Bayesian inference using sparse gaussian processes from tinygp. Examples include 1D and 2D implementation.

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salfaris/PriorVGAE

Oxford MSc thesis. PriorVAE with graph convolutional networks for learning locally-aware spatial prior distributions

Language: Python - Size: 106 MB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

wcxve/inferax

Statistical Inference with JAX.

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hbmep/hbmep

Hierarchical Bayesian estimation of MEP recruitment curves

Language: Python - Size: 7.02 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 1 - Forks: 0

compmem/cognax

Build, fit, and sample from cognitive models with JAX + NumPyro.

Language: Python - Size: 240 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

symeneses/SBM

Scalable Bayesian Modelling: A comparison

Language: Jupyter Notebook - Size: 219 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

fehiepsi/notebooks

my collection of notebooks from issues, pull requests, forum

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twkillian/nonstationary_contextual_bandits

Repo for course CSC2558: "Intelligent Adaptive Interventions" project in nonstationary contextual bandits.

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billyvinning/compound-poisson-gamma.numpyro

Parameter estimation for the Compound Poisson Gamma (Tweedie) distribution in NumPyro

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zzaneer086/Unwrapping-Customer-Delight

[Break Through Tech: AI Studio Project] Unwrapping Customer Delight: Using Frequentist and Bayesian Regression Models to Optimize Surprise Gift Strategies

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compmem/spamr

Mixture regression models for NumPyro.

Language: Python - Size: 121 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

vbprojects/ukraine_war_sentiment

Measuring how events shape discourse on twitter surrounding the Ukraine War in 2022 using piecewise exponential decay models.

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mmyros/bayes-window

Pretty, easy, flexible Bayesian estimation with data overlay

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jaredxfeng/rethinking

Statistical rethinking by Richard McElreath. Learning notes, code port to PyMC (mainly for MCMC) v5 & Numpyro (mainly for `quap`).

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mtcairneyleeming/slurm-template

A basic example to run ML code on SLURM (specifically Oxford's ARC systems) in a organised fashion

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tallamjr/bap-numpyro

Bayesian Analysis in Python (2nd ed.) with Numpyro

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dirknbr/numpyro-examples

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