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bayesian-statistics

Here are 583 public repositories matching this topic...

kmario23 / deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

machine-learning natural-language-processing deep-neural-networks reinforcement-learning computer-vision deep-learning optimization probability deep-reinforcement-learning medical-imaging speech-recognition artificial-neural-networks pattern-recognition probabilistic-graphical-models bayesian-statistics artificial-intelligence-algorithms visual-recognition geometric-deep-learning explainable-ai graph-neural-networks

Updated Apr 10, 2022
HTML

BoltzmannEntropy / interviews.ai

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

python data-science machine-learning deep-learning information-theory jobs pytorch autograd artificial-intelligence feature-extraction ensemble-learning logistic-regression convolutional-neural-networks bayesian-statistics loss-functions interview-preparation pytorch-tutorial graduate-school jax

Updated Jan 21, 2022

markdregan / Bayesian-Modelling-in-Python

A python tutorial on bayesian modeling techniques (PyMC3)

python tutorial pymc bayesian-statistics

Updated Apr 29, 2017
Jupyter Notebook

stan-dev / stan

Sponsor

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

bayesian-methods bayesian bayesian-inference stan bayesian-data-analysis bayesian-statistics

Updated Aug 30, 2022
C++

GPflow / GPflow

Gaussian processes in TensorFlow

machine-learning deep-learning tensorflow ml gaussian-processes variational-inference bayesian-statistics markov-chain-monte-carlo stochastic-processes gp gpflow

Updated Sep 16, 2022
Python

TuringLang / Turing.jl

Bayesian inference with probabilistic programming.

machine-learning julia-language artificial-intelligence probabilistic-programming bayesian-inference mcmc turing probabilistic-graphical-models hmc hamiltonian-monte-carlo bayesian-statistics probabilistic-models bayesian-neural-networks probabilistic-inference

Updated Sep 9, 2022
Julia

pymc-devs / pymc-resources

PyMC educational resources

data-science data-analysis bayesian-inference bayesian-statistics

Updated Sep 11, 2022
Jupyter Notebook

orbit

uber / orbit

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

Updated Sep 14, 2022
Python

AllenDowney / ThinkBayes2

Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

python jupyter bayes bayesian-statistics

Updated Jul 19, 2022
Jupyter Notebook

raphaelvallat / pingouin

Statistical package in Python based on Pandas

statistics statistical-methods pandas statistical-tests circular-statistics anova bayesian-statistics multiple-comparisons effect-size cohens-d correlations ttest

Updated Sep 9, 2022
Python

kumar-shridhar / PyTorch-BayesianCNN

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

python pytorch bayesian-network image-recognition convolutional-neural-networks bayesian-inference bayes bayesian-networks variational-inference bayesian-statistics bayesian-neural-networks variational-bayes bayesian-deep-learning pytorch-cnn bayesian-convnets bayes-by-backprop aleatoric-uncertainties

Updated Feb 5, 2021
Python

prml

gerdm / prml

Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

python machine-learning pattern-recognition prml bayesian-statistics

Updated Jul 25, 2022
Jupyter Notebook

ImperialCollegeLondon / covid19model

Code for modelling estimated deaths and cases for COVID19.

statistical-inference bayesian-statistics statistical-models probabilistic-models statistical-computing intervention-study branching-process renewal-process covid-19

Updated Mar 29, 2021
Stan

stan-dev / rstan

Sponsor

RStan, the R interface to Stan

r bayesian-inference stan r-package mcmc bayesian-data-analysis bayesian-statistics

Updated Sep 15, 2022
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tirthajyoti / Stats-Maths-with-Python

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Updated Oct 28, 2021
Jupyter Notebook

ericmjl / bayesian-stats-modelling-tutorial

Sponsor

How to do Bayesian statistical modelling using numpy and PyMC3

pymc bayesian bayesian-inference bayesian-data-analysis bayesian-statistics bayesian-data-science

Updated Jul 11, 2022
Jupyter Notebook

ericmjl / bayesian-analysis-recipes

Sponsor

A collection of Bayesian data analysis recipes using PyMC3

notebook bayesian-methods neural-networks bayesian bayesian-inference bayesian-data-analysis bayesian-statistics bayesian-analysis treatment-groups

Updated Jun 13, 2022
Jupyter Notebook

cscherrer / Soss.jl

Sponsor

Probabilistic programming via source rewriting

julia metaprogramming julia-language probabilistic-programming bayesian-inference julia-library bayesian-statistics

Updated Sep 10, 2022
Julia

fehiepsi / rethinking-numpyro

Statistical Rethinking (2nd ed.) with NumPyro

python numpy variational-inference causal-inference bayesian-statistics markov-chain-monte-carlo laplace-approximation

Updated Apr 4, 2022
Jupyter Notebook

stan-dev / rstanarm

Sponsor

rstanarm R package for Bayesian applied regression modeling

r bayesian-methods rstan bayesian multilevel-models bayesian-inference stan r-package rstanarm bayesian-data-analysis bayesian-statistics statistical-modeling

Updated Sep 14, 2022
R

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