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402 search results found
Kalman And Bayesian Filters In Python
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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
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2,779
Bayesian optimization in PyTorch
Bayesian Modelling In Python
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2,202
A python tutorial on bayesian modeling techniques (PyMC3)
Ax
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2,142
Adaptive Experimentation Platform
Bayesian Machine Learning
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1,587
Notebooks about Bayesian methods for machine learning
Imodels
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1,175
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearncompatible).
Bayesgan
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1,002
Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)
Bda_py_demos
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851
Bayesian Data Analysis demos for Python
Doing_bayesian_data_analysis
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799
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
Statistical Rethinking With Python And Pymc3
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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
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601
How to do Bayesian statistical modelling using numpy and PyMC3
Bayesian_changepoint_detection
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597
Methods to get the probability of a changepoint in a time series.
Bap
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578
Bayesian Analysis with Python (Second Edition)
Bdl Benchmarks
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571
Bayesian Deep Learning Benchmarks
Dbda Python
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543
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
Bayesian Analysis Recipes
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510
A collection of Bayesian data analysis recipes using PyMC3
Bandits
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472
Python library for MultiArmed Bandits
Sklearn Bayes
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439
Python package for Bayesian Machine Learning with scikitlearn API
Swa_gaussian
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393
Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"
Notes On Dirichlet Processes
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377
🎲 Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation
Bnlearn
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375
Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
Bayesian Neural Network Blogpost
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317
Building a Bayesian deep learning classifier
Hamiltorch
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314
PyTorchbased library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
Bayesmadesimple
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282
Code for a tutorial on Bayesian Statistics by Allen Downey.
Scipy2014_tutorial
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281
Tutorial: Bayesian Statistical Analysis in Python
Hddm
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229
HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).
Bayesian Optimization
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218
Python code for bayesian optimization using Gaussian processes
Bayesian Neural Network Mnist
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212
Bayesian neural network using Pyro and PyTorch on MNIST dataset
Bayes_computing_course
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208
Bayesian Analysis With Python
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201
Bayesian Analysis with Python by Packt
Causalimpact
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189
Python port of CausalImpact R library
Understandingbdl
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174
Pyross
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160
PyRoss: inference, forecasts, and optimised control of epidemiological models in Python
Deepaugment
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150
Discover augmentation strategies tailored for your dataset
Mixture_model_trading_public
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138
Advance Bayesian Modelling With Pymc3
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133
Nsci801 Quantneuro
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112
NSCI 801 (Queen's U) Quantitative Neuroscience course materials
Mooc Coursera Advanced Machine Learning
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103
Content from Coursera's ADVANCED MACHINE LEARNING Specialization (Deep Learning, Bayesian Methods, Natural Language Processing, Reinforcement Learning, Computer Vision).
Bayesian Model Evaluation
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103
Presented at Scipy Conference 2019
Bitesizebayes
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100
An introduction to Bayesian statistics using Python and (coming soon) R.
Bayesian Methods For Ml
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99
Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
Mlviz
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97
Visualizations of machine learning models and algorithms
Data_sciences_campaign
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93
【数据科学家系列课程】
Bayesian Cognitive Modeling In Pymc3
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90
PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling  A Pratical Course
Rethinking Pyro
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90
Statistical Rethinking with PyTorch and Pyro
Probai 2019
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89
Materials of the Nordic Probabilistic AI School 2019.
Pymc Example Project
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87
Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
Bayesian_benchmarks
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85
A community repository for benchmarking Bayesian methods
Pybnn
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85
Bayesian neural network package
Uq_bnn
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79
Uncertainty quantification using Bayesian neural networks in classification
Quantum Fog
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78
Python tools for analyzing both classical and quantum Bayesian Networks
Mcmc_pydata_london_2019
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75
PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
Covid19_inference
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71
Bayesian python toolbox for inference and forecast of the spread of the Coronavirus
Group Sparsity Sbp
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70
Structured Bayesian Pruning, NIPS 2017
Probai 2021
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69
Materials of the Nordic Probabilistic AI School 2021.
Drbayes
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68
Code Repo for "Subspace Inference for Bayesian Deep Learning"
Chi_course_2019
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67
ACM SIGCHI 2019 Course on Bayesian Methods for Interaction
Bayesianastronomy
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66
Bayesian Methods in Astronomy workshop, presented at AAS227
Bayesian Analysis With Python Second Edition
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64
Bayesian Analysis with Python  Second Edition, published by Packt
Mlss2019 Bayesian Deep Learning
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63
MLSS2019 Tutorial on Bayesian Deep Learning
Tutorial
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63
Tutorial on Bayesian tests for Machine Learning
Diffusion_models
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61
Minimal standalone example of diffusion model
Apmae4990
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58
Introduction to Data Science in Industry
Bayesian_hilbert_maps
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58
Mapping spatiotemporal patterns in an online and continuous fashion
Bayesianlstm
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56
Bayesian LSTM Implementation in PyTorch
Bayesianml
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55
Experiments in Bayesian Machine Learning
Csgmcmc
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54
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning
Hyperparameter_optimization_strategies
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54
This is the Code for "How Do I Find the Best Hyperparameters? The Math of Intelligence #7" By Siraj Raval on Youtube
Py Bbn
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54
Inference in Bayesian Belief Networks using Probability Propagation in Trees of Clusters (PPTC) and Gibbs sampling
Keras_gpyopt
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51
Using Bayesian Optimization to optimize hyper parameter in Kerasmade neural network model.
Bayesian Linear Regression
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51
A python tutorial for a Bayesian treatment of Linear Regression: https://zjost.github.io/bayesianlinearregression
Bayes Workflow Book
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51
Source files for the book "Bayesian Workflow Using Stan"
Gp Cake Project
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50
Bayesian Effective Connectivity
Stan_workshop_2016
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49
Bayesian Modeling using Stan in R (May/June 2016)
Bayespa
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48
Online MaxMargin Topic Models for Accurate and Fast Text Classification [release v0.1]
Segnet Tensorflow
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48
Bayesicfitting
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44
Bayesian fitting package
All That Likelihood With Pymc3
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43
Bayes_tutorial_2019
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42
Introductory overview of Bayesian inference
Beer
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41
Bayesian spEEch Recognizer
Bayesian_nn_ensembles
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40
AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'
Gp Dip
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38
Code for A Bayesian Perspective on the Deep Image Prior (CVPR 2019)
Post Bayesian Optimization
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37
Exploring Bayesian Optimization
Mapillary_sls
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37
Mapillary Streetlevel Sequences Dataset
Brmp
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37
Bayesian Regression Models in Pyro
Bayesian Optimisation
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36
Finding the best parameters for any algorithm
Dynamichmcexamples.jl
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34
Examples for Bayesian inference using DynamicHMC.jl and related packages.
Mlhep2019
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34
MLHEP'19 slides and notebooks
Sgld
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33
Abcpmc
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30
Approximate Bayesian Computation Population Monte Carlo
Bayesian Analysis With Python
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30
《用Python做贝叶斯分析》
Vanilla Machine Learning
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30
vanilla machine learning
Group Emotion Recognition
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30
Group Emotion Recognition using deep neural networks and Bayesian classifiers.
Simpleabc
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29
A Python package for Approximate Bayesian Computation
Bmlip
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28
Course 5SSD0  Bayesian Machine Learning and Information Processing
Bayesbinn
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28
Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule
Bhm At Scale
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27
🪜 Bayesian Hierarchical Models at Scale
Covid
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27
Bayesian modeling of COVID19
Bayesian Forest
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25
Bayes Drt
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24
Hierarchical Bayesian methods for inversion of electrochemical impedance spectroscopy (EIS) data
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