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402 search results found

Kalman And Bayesian Filters In Python ⭐ 14,511

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.

Botorch ⭐ 2,779

Bayesian optimization in PyTorch

Bayesian Modelling In Python ⭐ 2,202

A python tutorial on bayesian modeling techniques (PyMC3)

Adaptive Experimentation Platform

Bayesian Machine Learning ⭐ 1,587

Notebooks about Bayesian methods for machine learning

Imodels ⭐ 1,175

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

Bayesgan ⭐ 1,002

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

Bda_py_demos ⭐ 851

Bayesian Data Analysis demos for Python

Doing_bayesian_data_analysis ⭐ 799

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

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

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.

Bayesian Analysis with Python (Second Edition)

Bdl Benchmarks ⭐ 571

Bayesian Deep Learning Benchmarks

Dbda Python ⭐ 543

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

Bayesian Analysis Recipes ⭐ 510

A collection of Bayesian data analysis recipes using PyMC3

Bandits ⭐ 472

Python library for Multi-Armed Bandits

Sklearn Bayes ⭐ 439

Python package for Bayesian Machine Learning with scikit-learn API

Swa_gaussian ⭐ 393

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

Notes On Dirichlet Processes ⭐ 377

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

Bnlearn ⭐ 375

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

Bayesian Neural Network Blogpost ⭐ 317

Building a Bayesian deep learning classifier

Hamiltorch ⭐ 314

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

Bayesmadesimple ⭐ 282

Code for a tutorial on Bayesian Statistics by Allen Downey.

Scipy2014_tutorial ⭐ 281

Tutorial: Bayesian Statistical Analysis in Python

HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).

Bayesian Optimization ⭐ 218

Python code for bayesian optimization using Gaussian processes

Bayesian Neural Network Mnist ⭐ 212

Bayesian neural network using Pyro and PyTorch on MNIST dataset

Bayes_computing_course ⭐ 208

Bayesian Analysis With Python ⭐ 201

Bayesian Analysis with Python by Packt

Causalimpact ⭐ 189

Python port of CausalImpact R library

Understandingbdl ⭐ 174

PyRoss: inference, forecasts, and optimised control of epidemiological models in Python

Deepaugment ⭐ 150

Discover augmentation strategies tailored for your dataset

Mixture_model_trading_public ⭐ 138

Advance Bayesian Modelling With Pymc3 ⭐ 133

Nsci801 Quantneuro ⭐ 112

NSCI 801 (Queen's U) Quantitative Neuroscience course materials

Mooc Coursera Advanced Machine Learning ⭐ 103

Content from Coursera's ADVANCED MACHINE LEARNING Specialization (Deep Learning, Bayesian Methods, Natural Language Processing, Reinforcement Learning, Computer Vision).

Bayesian Model Evaluation ⭐ 103

Presented at Scipy Conference 2019

Bitesizebayes ⭐ 100

An introduction to Bayesian statistics using Python and (coming soon) R.

Bayesian Methods For Ml ⭐ 99

Materials for "Bayesian Methods for Machine Learning" Coursera MOOC

Visualizations of machine learning models and algorithms

Data_sciences_campaign ⭐ 93

【数据科学家系列课程】

Bayesian Cognitive Modeling In Pymc3 ⭐ 90

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

Rethinking Pyro ⭐ 90

Statistical Rethinking with PyTorch and Pyro

Probai 2019 ⭐ 89

Materials of the Nordic Probabilistic AI School 2019.

Pymc Example Project ⭐ 87

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

Bayesian_benchmarks ⭐ 85

A community repository for benchmarking Bayesian methods

Bayesian neural network package

Uncertainty quantification using Bayesian neural networks in classification

Quantum Fog ⭐ 78

Python tools for analyzing both classical and quantum Bayesian Networks

Mcmc_pydata_london_2019 ⭐ 75

PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3

Covid19_inference ⭐ 71

Bayesian python toolbox for inference and forecast of the spread of the Coronavirus

Group Sparsity Sbp ⭐ 70

Structured Bayesian Pruning, NIPS 2017

Probai 2021 ⭐ 69

Materials of the Nordic Probabilistic AI School 2021.

Code Repo for "Subspace Inference for Bayesian Deep Learning"

Chi_course_2019 ⭐ 67

ACM SIGCHI 2019 Course on Bayesian Methods for Interaction

Bayesianastronomy ⭐ 66

Bayesian Methods in Astronomy workshop, presented at AAS227

Bayesian Analysis With Python Second Edition ⭐ 64

Bayesian Analysis with Python - Second Edition, published by Packt

Mlss2019 Bayesian Deep Learning ⭐ 63

MLSS2019 Tutorial on Bayesian Deep Learning

Tutorial ⭐ 63

Tutorial on Bayesian tests for Machine Learning

Diffusion_models ⭐ 61

Minimal standalone example of diffusion model

Apmae4990 ⭐ 58

Introduction to Data Science in Industry

Bayesian_hilbert_maps ⭐ 58

Mapping spatiotemporal patterns in an online and continuous fashion

Bayesianlstm ⭐ 56

Bayesian LSTM Implementation in PyTorch

Bayesianml ⭐ 55

Experiments in Bayesian Machine Learning

Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning

Hyperparameter_optimization_strategies ⭐ 54

This is the Code for "How Do I Find the Best Hyperparameters?- The Math of Intelligence #7" By Siraj Raval on Youtube

Inference in Bayesian Belief Networks using Probability Propagation in Trees of Clusters (PPTC) and Gibbs sampling

Keras_gpyopt ⭐ 51

Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.

Bayesian Linear Regression ⭐ 51

A python tutorial for a Bayesian treatment of Linear Regression: https://zjost.github.io/bayesian-linear-regression

Bayes Workflow Book ⭐ 51

Source files for the book "Bayesian Workflow Using Stan"

Gp Cake Project ⭐ 50

Bayesian Effective Connectivity

Stan_workshop_2016 ⭐ 49

Bayesian Modeling using Stan in R (May/June 2016)

Online Max-Margin Topic Models for Accurate and Fast Text Classification [release v0.1]

Segnet Tensorflow ⭐ 48

Bayesicfitting ⭐ 44

Bayesian fitting package

All That Likelihood With Pymc3 ⭐ 43

Bayes_tutorial_2019 ⭐ 42

Introductory overview of Bayesian inference

Bayesian spEEch Recognizer

Bayesian_nn_ensembles ⭐ 40

AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'

Code for A Bayesian Perspective on the Deep Image Prior (CVPR 2019)

Post Bayesian Optimization ⭐ 37

Exploring Bayesian Optimization

Mapillary_sls ⭐ 37

Mapillary Street-level Sequences Dataset

Bayesian Regression Models in Pyro

Bayesian Optimisation ⭐ 36

Finding the best parameters for any algorithm

Dynamichmcexamples.jl ⭐ 34

Examples for Bayesian inference using DynamicHMC.jl and related packages.

Mlhep2019 ⭐ 34

MLHEP'19 slides and notebooks

Approximate Bayesian Computation Population Monte Carlo

Bayesian Analysis With Python ⭐ 30

《用Python做贝叶斯分析》

Vanilla Machine Learning ⭐ 30

vanilla machine learning

Group Emotion Recognition ⭐ 30

Group Emotion Recognition using deep neural networks and Bayesian classifiers.

Simpleabc ⭐ 29

A Python package for Approximate Bayesian Computation

Course 5SSD0 - Bayesian Machine Learning and Information Processing

Bayesbinn ⭐ 28

Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule

Bhm At Scale ⭐ 27

🪜 Bayesian Hierarchical Models at Scale

Bayesian modeling of COVID-19

Bayesian Forest ⭐ 25

Bayes Drt ⭐ 24

Hierarchical Bayesian methods for inversion of electrochemical impedance spectroscopy (EIS) data

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