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Kalman And Bayesian Filters In Python ⭐ 15,017

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

Deep universal probabilistic programming with Python and PyTorch

Pgmpy ⭐ 2,551

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

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.

Deeplearning ⭐ 2,347

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

Adaptive Experimentation Platform

Bayesian Modelling In Python ⭐ 2,202

A python tutorial on bayesian modeling techniques (PyMC3)

Zhusuan ⭐ 2,139

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

Bda_course_aalto ⭐ 2,099

Bayesian Data Analysis course at Aalto

Ggstatsplot ⭐ 1,860

Enhancing {ggplot2} plots with statistical analysis 📊📣

Orbit ⭐ 1,776

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

Gen.jl ⭐ 1,758

A general-purpose probabilistic programming system with programmable inference

Bayesian Machine Learning ⭐ 1,587

Notebooks about Bayesian methods for machine learning

Causalimpact ⭐ 1,484

An R package for causal inference in time series

Arviz ⭐ 1,481

Exploratory analysis of Bayesian models with Python

Pmtk3 ⭐ 1,443

Probabilistic Modeling Toolkit for Matlab/Octave.

Spearmint ⭐ 1,334

Spearmint Bayesian optimization codebase

Spearmint ⭐ 1,310

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

Imodels ⭐ 1,229

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Pytorch Bayesiancnn ⭐ 1,181

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

Bayesian Belief Networks ⭐ 1,024

Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.

Bayesgan ⭐ 1,002

Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

Easystats ⭐ 987

🌌 The R easystats-project

BAyesian Model-Building Interface (Bambi) in Python.

Nips2017 ⭐ 913

A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017

Bayesdb ⭐ 881

A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself. New implementation in http://github.com/probcomp/bayeslite

Bda_py_demos ⭐ 851

Bayesian Data Analysis demos for Python

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 address parameter and model uncertainties.

Bayeslite ⭐ 828

BayesDB on SQLite. A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself.

Blitz Bayesian Deep Learning ⭐ 817

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

Doing_bayesian_data_analysis ⭐ 799

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

A Comparative Framework for Multimodal Recommender Systems

Dragonfly ⭐ 782

An open source python library for scalable Bayesian optimisation.

Bayesian ⭐ 775

Naive Bayesian Classification for Golang.

Example Models ⭐ 745

Example models for Stan

Visualizations of distributions and uncertainty

Jasp Desktop ⭐ 709

JASP aims to be a complete statistical package for both Bayesian and Frequentist statistical methods, that is easy to use and familiar to users of SPSS

Lightweight_mmm ⭐ 701

LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.

Tidybayes ⭐ 689

Bayesian analysis + tidy data + geoms (R package)

Statistical Rethinking With Python And Pymc3 ⭐ 674

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

Probreg ⭐ 670

Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)

Bayespy ⭐ 666

Bayesian Python: Bayesian inference tools for Python

Classifier ⭐ 656

A general classifier module to allow Bayesian and other types of classifications.

Segnet Tutorial ⭐ 655

Files for a tutorial to train SegNet for road scenes using the CamVid dataset

📜 🎉 Automated reporting of objects in R

Tikz Bayesnet ⭐ 638

TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.

Classifier ⭐ 623

[UNMAINTAINED] Bayesian classifier with Redis backend

Bayesian Stats Modelling Tutorial ⭐ 601

How to do Bayesian statistical modelling using numpy and PyMC3

Bayesian_changepoint_detection ⭐ 597

Methods to get the probability of a changepoint in a time series.

Awesome Starcraftai ⭐ 579

A curated list of resources dedicated to StarCraft AI.

Bayesian Analysis with Python (Second Edition)

Bdl Benchmarks ⭐ 571

Bayesian Deep Learning Benchmarks

Deep Active Learning ⭐ 553

Deep Active Learning

A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

Dbda Python ⭐ 543

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

Bda_r_demos ⭐ 538

Bayesian Data Analysis demos for R

Classifier Reborn ⭐ 531

A general classifier module to allow Bayesian and other types of classifications. A fork of cardmagic/classifier.

Bayestestr ⭐ 531

👻 Utilities for analyzing Bayesian models and posterior distributions

Bayesian Analysis Recipes ⭐ 510

A collection of Bayesian data analysis recipes using PyMC3

Bayesiandeeplearning Survey ⭐ 475

Bayesian Deep Learning: A Survey

Bandits ⭐ 472

Python library for Multi-Armed Bandits

A python library for Bayesian time series modeling

Sentiment Analysis In Event Driven Stock Price Movement Prediction ⭐ 462

Use NLP to predict stock price movement associated with news

Sklearn Bayes ⭐ 439

Python package for Bayesian Machine Learning with scikit-learn API

Experimental Global Optimization Algorithm

Faceverification ⭐ 426

An Experimental Implementation of Face Verification, 96.8% on LFW.

Bayes Nn ⭐ 423

Lecture notes on Bayesian deep learning

Rainier ⭐ 418

Bayesian inference in Scala.

Dropoutuncertaintyexps ⭐ 411

Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

Bnlearn ⭐ 406

Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.

Bayesplot ⭐ 402

bayesplot R package for plotting Bayesian models

Bayesian Torch ⭐ 396

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

Swa_gaussian ⭐ 393

Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"

Correlation ⭐ 390

🔗 Methods for Correlation Analysis

RoBO: a Robust Bayesian Optimization framework

Notes On Dirichlet Processes ⭐ 377

🎲 Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation

Awesome Bayesian Deep Learning ⭐ 375

A curated list of resources dedicated to bayesian deep learning

Multitask Learning ⭐ 374

Awesome Multitask Learning Resources

Rstanarm ⭐ 371

rstanarm R package for Bayesian applied regression modeling

Snake Ga ⭐ 360

AI Agent that learns how to play Snake with Deep Q-Learning

Hamiltorch ⭐ 357

PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks

Bayesopt ⭐ 349

BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.

Bayesianrnn ⭐ 342

Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"

Dynesty ⭐ 323

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

Bayes Net Toolbox for Matlab

Bayesian Neural Network Blogpost ⭐ 317

Building a Bayesian deep learning classifier

Distribution_diagrams ⭐ 314

R-script for generating canonical diagrams of distributions to be used to describe Bayesian hierarchical models.

Crosscat ⭐ 312

A domain-general, Bayesian method for analyzing high-dimensional data tables

Bayesian Statistics ⭐ 310

This repository holds slides and code for a full Bayesian statistics graduate course.

Pyvarinf ⭐ 300

Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

Bayesian multi-object tracking

Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"

Tutorials ⭐ 294

Tutorials on phylogenetic and phylogenomic inference

Advancedml ⭐ 293

Reading list for the Advanced Machine Learning Course

Bayesian_first_aid ⭐ 292

Inside every classical test there is a Bayesian model trying to get out.

Bayesmadesimple ⭐ 282

Code for a tutorial on Bayesian Statistics by Allen Downey.

Scipy2014_tutorial ⭐ 281

Tutorial: Bayesian Statistical Analysis in Python

Bayesab ⭐ 278

🐢 bayesAB: Fast Bayesian Methods for A/B Testing

Traceanomaly ⭐ 277

ISSRE'20: Unsupervised Detection of Microservice Trace Anomalies through Service-Level Deep Bayesian Networks

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