All Projects → Gauss Naive Bayes → Similar Projects or Alternatives

82 Open source projects that are alternatives of or similar to Gauss Naive Bayes

MultiBUGS
Multi-core BUGS for fast Bayesian inference of large hierarchical models
Stars: ✭ 28 (+27.27%)
Mutual labels:  bayesian
geostan
Bayesian spatial analysis
Stars: ✭ 40 (+81.82%)
Mutual labels:  bayesian
cmdstanr
CmdStanR: the R interface to CmdStan
Stars: ✭ 82 (+272.73%)
Mutual labels:  bayesian
tukey
Mini stats toolkit for Clojure/Script
Stars: ✭ 17 (-22.73%)
Mutual labels:  bayesian
Elfi
ELFI - Engine for Likelihood-Free Inference
Stars: ✭ 208 (+845.45%)
Mutual labels:  bayesian
BayesHMM
Full Bayesian Inference for Hidden Markov Models
Stars: ✭ 35 (+59.09%)
Mutual labels:  bayesian
go-topics
Latent Dirichlet Allocation
Stars: ✭ 23 (+4.55%)
Mutual labels:  bayesian
Report
📜 🎉 Automated reporting of objects in R
Stars: ✭ 348 (+1481.82%)
Mutual labels:  bayesian
Dropout BBalpha
Implementations of the ICML 2017 paper (with Yarin Gal)
Stars: ✭ 40 (+81.82%)
Mutual labels:  bayesian
models-by-example
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
Stars: ✭ 43 (+95.45%)
Mutual labels:  bayesian
DynamicHMCExamples.jl
Examples for Bayesian inference using DynamicHMC.jl and related packages.
Stars: ✭ 33 (+50%)
Mutual labels:  bayesian
Stan
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.
Stars: ✭ 2,177 (+9795.45%)
Mutual labels:  bayesian
fastbaps
A fast approximation to a Dirichlet Process Mixture model (DPM) for clustering genetic data
Stars: ✭ 24 (+9.09%)
Mutual labels:  bayesian
pymc3-hmm
Hidden Markov models in PyMC3
Stars: ✭ 81 (+268.18%)
Mutual labels:  bayesian
Pydlm
A python library for Bayesian time series modeling
Stars: ✭ 375 (+1604.55%)
Mutual labels:  bayesian
MTfit
MTfit code for Bayesian Moment Tensor Fitting
Stars: ✭ 61 (+177.27%)
Mutual labels:  bayesian
probai-2021
Materials of the Nordic Probabilistic AI School 2021.
Stars: ✭ 83 (+277.27%)
Mutual labels:  bayesian
bnp
Bayesian nonparametric models for python
Stars: ✭ 17 (-22.73%)
Mutual labels:  bayesian
Bayesian Analysis Recipes
A collection of Bayesian data analysis recipes using PyMC3
Stars: ✭ 479 (+2077.27%)
Mutual labels:  bayesian
binary.com-interview-question
The sample question for Interview a job in Binary options
Stars: ✭ 52 (+136.36%)
Mutual labels:  bayesian
AI-cheat-sheet
cheat sheet for Artificial Intelligence
Stars: ✭ 20 (-9.09%)
Mutual labels:  bayesian
Probabilistic Models
Collection of probabilistic models and inference algorithms
Stars: ✭ 217 (+886.36%)
Mutual labels:  bayesian
Bayadera
High-performance Bayesian Data Analysis on the GPU in Clojure
Stars: ✭ 342 (+1454.55%)
Mutual labels:  bayesian
Pygpgo
Bayesian optimization for Python
Stars: ✭ 196 (+790.91%)
Mutual labels:  bayesian
phyr
Functions for phylogenetic analyses
Stars: ✭ 23 (+4.55%)
Mutual labels:  bayesian
stantargets
Reproducible Bayesian data analysis pipelines with targets and cmdstanr
Stars: ✭ 31 (+40.91%)
Mutual labels:  bayesian
Dynamichmc.jl
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Stars: ✭ 172 (+681.82%)
Mutual labels:  bayesian
Bayesplot
bayesplot R package for plotting Bayesian models
Stars: ✭ 276 (+1154.55%)
Mutual labels:  bayesian
awesome-agi-cocosci
An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.
Stars: ✭ 81 (+268.18%)
Mutual labels:  bayesian
Gempy
GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to adress parameter and model uncertainties.
Stars: ✭ 396 (+1700%)
Mutual labels:  bayesian
LogDensityProblems.jl
A common framework for implementing and using log densities for inference.
Stars: ✭ 26 (+18.18%)
Mutual labels:  bayesian
BayesianTutorials
Implementing MCMC sampling from scratch in R for various Bayesian models
Stars: ✭ 75 (+240.91%)
Mutual labels:  bayesian
BayesianSocialScience
사회과학자를 위한 데이터과학 방법론 (코드 저장소)
Stars: ✭ 22 (+0%)
Mutual labels:  bayesian
Bayesian Stats Modelling Tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
Stars: ✭ 480 (+2081.82%)
Mutual labels:  bayesian
ArviZ.jl
Exploratory analysis of Bayesian models with Julia
Stars: ✭ 67 (+204.55%)
Mutual labels:  bayesian
Baysor
Bayesian Segmentation of Spatial Transcriptomics Data
Stars: ✭ 53 (+140.91%)
Mutual labels:  bayesian
walker
Bayesian Generalized Linear Models with Time-Varying Coefficients
Stars: ✭ 38 (+72.73%)
Mutual labels:  bayesian
Orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Stars: ✭ 346 (+1472.73%)
Mutual labels:  bayesian
bayesian
Bindings for Bayesian TidyModels
Stars: ✭ 33 (+50%)
Mutual labels:  bayesian
TensorFlow-Autoencoders
Implementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder
Stars: ✭ 29 (+31.82%)
Mutual labels:  bayesian
statistical-rethinking-solutions
Solutions of practice problems from the Richard McElreath's "Statistical Rethinking" book.
Stars: ✭ 60 (+172.73%)
Mutual labels:  bayesian
Bocd
Bayesian Changepoint Detection
Stars: ✭ 17 (-22.73%)
Mutual labels:  bayesian
symbolic-pymc
Tools for the symbolic manipulation of PyMC models, Theano, and TensorFlow graphs.
Stars: ✭ 58 (+163.64%)
Mutual labels:  bayesian
thomas
Another A/B test library
Stars: ✭ 20 (-9.09%)
Mutual labels:  bayesian
statrethink course in pymc3
Statistical Rethinking course in pymc3
Stars: ✭ 141 (+540.91%)
Mutual labels:  bayesian
Bayestestr
👻 Utilities for analyzing Bayesian models and posterior distributions
Stars: ✭ 346 (+1472.73%)
Mutual labels:  bayesian
probai-2019
Materials of the Nordic Probabilistic AI School 2019.
Stars: ✭ 127 (+477.27%)
Mutual labels:  bayesian
BayesianNeuralNets
Bayesian neural networks in PyTorch
Stars: ✭ 17 (-22.73%)
Mutual labels:  bayesian
Bayesiandeeplearning Survey
Bayesian Deep Learning: A Survey
Stars: ✭ 214 (+872.73%)
Mutual labels:  bayesian
Sklearn Bayes
Python package for Bayesian Machine Learning with scikit-learn API
Stars: ✭ 428 (+1845.45%)
Mutual labels:  bayesian
Cornell Moe
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
Stars: ✭ 198 (+800%)
Mutual labels:  bayesian
MLExp
arxiv.org/abs/1801.07710v2
Stars: ✭ 32 (+45.45%)
Mutual labels:  bayesian
Correlation
🔗 Methods for Correlation Analysis
Stars: ✭ 192 (+772.73%)
Mutual labels:  bayesian
Deeplearning
Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
Stars: ✭ 4,020 (+18172.73%)
Mutual labels:  bayesian
stan4bart
Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree (BART) components.
Stars: ✭ 13 (-40.91%)
Mutual labels:  bayesian
Rhat ess
Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
Stars: ✭ 19 (-13.64%)
Mutual labels:  bayesian
Bda py demos
Bayesian Data Analysis demos for Python
Stars: ✭ 781 (+3450%)
Mutual labels:  bayesian
Bda r demos
Bayesian Data Analysis demos for R
Stars: ✭ 409 (+1759.09%)
Mutual labels:  bayesian
Rstanarm
rstanarm R package for Bayesian applied regression modeling
Stars: ✭ 285 (+1195.45%)
Mutual labels:  bayesian
BAS
BAS R package https://merliseclyde.github.io/BAS/
Stars: ✭ 36 (+63.64%)
Mutual labels:  bayesian
1-60 of 82 similar projects