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Search results for jupyter notebook bayesian inference
bayesian-inference
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jupyter-notebook
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87 search results found
Neural Tangents
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2,149
Fast and Easy Infinite Neural Networks in Python
Pymc Resources
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1,838
PyMC educational resources
Bayesian Neural Networks
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1,633
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Bda_py_demos
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851
Bayesian Data Analysis demos for Python
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.
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
Bnlearn
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406
Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
Monad Bayes
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389
A library for probabilistic programming in Haskell.
Vae_cf
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309
Variational autoencoders for collaborative filtering
Rethinking Tensorflow Probability
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207
Statistical Rethinking (2nd Ed) with Tensorflow Probability
Indaba Pracs 2022
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151
Notebooks for the Practicals at the Deep Learning Indaba 2022.
Celeste.jl
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124
Scalable inference for a generative model of astronomical images
Glmm In Python
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114
Generalized linear mixed-effect model in Python
Pymc3_vs_pystan
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105
Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation video: https://www.youtube.com/watch?v=Jb9eklfbDyg
Pycbc Tutorials
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101
Learn how to use PyCBC to analyze gravitational-wave data and do parameter inference.
Rethinking Pyro
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90
Statistical Rethinking with PyTorch and Pyro
Bayesian Cognitive Modeling In Pymc3
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90
PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
Pymc Example Project
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87
Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
Alice
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80
NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
Bridge.jl
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77
A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.
Covid19_inference
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71
Bayesian python toolbox for inference and forecast of the spread of the Coronavirus
Drbayes
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68
Code Repo for "Subspace Inference for Bayesian Deep Learning"
Planet_sakaar_data_science
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53
A colourful collection of codes and notebooks, like Planet Sakaar
Dun
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52
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
Cosmopower
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45
Machine Learning - accelerated Bayesian inference
Move
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44
MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations
Bayes_tutorial_2019
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42
Introductory overview of Bayesian inference
Dynamichmcexamples.jl
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37
Examples for Bayesian inference using DynamicHMC.jl and related packages.
Bayesian Statistics Econometrics
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34
Bayesian Statistics-Econometrics
Astrostatistics_bicocca_2023
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32
Astrostatistics and Machine Learning class for the MSc degree in Astrophysics at the University of Milan-Bicocca (Italy)
Svae_cf
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26
Sequential Variational Autoencoders for Collaborative Filtering
Bayes Drt
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24
Hierarchical Bayesian methods for inversion of electrochemical impedance spectroscopy (EIS) data
Embracinguncertainty
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24
Material for AMLD 2020 workshop "Bayesian Inference: embracing uncertainty"
Models
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24
Forecasting 🇫🇷 elections with Bayesian statistics 🥳
Calibr8
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23
Toolbox for non-linear calibration modeling.
Pymc Stochastic Process
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22
Demonstrating the benefits of using Bayesian Inference and PYMC3 for estimating the parameters of stochastic processes commonly used in quantitative finance.
Turingbnpbenchmarks
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22
Benchmarks of Bayesian Nonparametric models in Turing and other PPLs
Pymc3_euss
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21
Course in Probabilistic Programming in Python for the 2018 EU Summer School
Pycurious
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21
Python package for computing the Curie depth from the magnetic anomaly
Hmm_for_autonomous_driving
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18
🎓 Educational application of Hidden Markov Model to Autonomous Driving 🚕🚙🚗
Datascience
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17
My data science projects, in Python and R, about statistical learning and Bayesian inference.
Sisua
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16
SemI-SUpervised generative Autoencoder models for single cell data
Awesome Ai Tutorials
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15
The best collection of AI tutorials to make you a boss of Data Science!
Ds3_abi_exercises
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14
Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018
Landmark_detection_robot_tracking_slam
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14
Simultaneous Localization and Mapping(SLAM) also gives you a way to track the location of a robot in the world in real-time and identify the locations of landmarks such as buildings, trees, rocks, and other world features.
Bayesianml
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14
This is a GitHub repository for our Bayeisan Machine Learning textbook, which includes the PDF for the book and accompanying Python notebooks.
Stein Variational Samplers
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14
Python and MATLAB code for Stein Variational sampling methods
Sample Efficient Bayesian Rl
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13
Source for the sample efficient tabular RL submission to the 2019 NIPS workshop on Biological and Artificial RL
Cosmopower Jax
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13
Differentiable cosmological emulators: the JAX version of cosmopower
Plateflex
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13
Estimating effective elastic thickness of the lithosphere
Pycbcinferenceworkshopmay2019
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12
Repository for the PyCBC Inference workshop in Portsmouth, UK, 14 May - 16 May 2019.
Artificial_curiosity
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12
Adaptive Reinforcement Learning of curious AI basketball agents
Ssdgp
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11
State-space deep Gaussian processes in Python and Matlab
Sober
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11
Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration
Manifold Mcmc For Diffusions
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10
Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'
Bayes Qnet
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10
Code for Bayesian inference for queueing networks with incomplete data
Maxentropy
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10
Maximum entropy and minimum divergence models in Python
Imagine
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10
Interstellar Magnetic Field Inference Engine, a modular open source framework for doing inference on generic parametric models of the Galaxy.
Altar2 Documentation
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10
AlTar 2.0 Documentation
Professional Workshop 3
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9
上海交通大学 致远数学方向 专业研讨课3 [计算神经科学专题]
Bayesian Modeling
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9
Case studies with Bayesian methods
Probablytensorflow
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9
A tutorial on Bayesian Inference with Tensorflow Probability
Balanced Nre
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9
Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".
Bhad
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9
A Python library for Bayesian Anomaly Detection
Tsunamibayes
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8
Tsunami Bayesian Estimation
Stochastic_seismic_waveform_inversion
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8
Official Implementation of "Stochastic seismic waveform inversion using generative adversarial networks as a geological prior"
Bodywork Pymc3 Project
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8
Serving Uncertainty with Bayesian inference, using PyMC3 with Bodywork
Understanding Bayesian Classification
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8
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification
Bayesian Methods For Machine Learning
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8
Bayesian Methods for Machine Learning
Thelongrun_notebooks
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8
Repository covering basics of Bayesian inference
Manifold_lifting
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6
Accompanying code for 'Manifold lifting: scaling MCMC to the vanishing noise regime'
Xnicer
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6
The XNICER algorithm
Arch_uncert
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6
Code for "Variational Depth Search in ResNets" (https://arxiv.org/abs/2002.02797)
Gwnrtools
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6
Research tools for intermingling gravitational-wave data analysis with numerical relativity
Bayesian_smoothing_eyemovement
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6
Repository of my talk for Bayes@Lund 2017
Bayesian With Python
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6
프로그래머를 위한 베이지안 with 파이썬
Pycbc Inference Paper
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6
Data Release associated with the PyCBC Inference paper. This includes posterior samples for GW150914, LVT151012, and GW151226 along with configuration files and run scripts,
Sbm
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6
Scalable Bayesian Modelling: A comparison
Bayes Notebooks
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5
Notebooks
Bayesianstatistics
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5
Aquí encontrarás materiales didácticos, ejercicios, conjuntos de datos y recursos para profundizar en el análisis bayesiano. Este curso está dirigido a estudiantes interesados en métodos estadísticos avanzados, análisis de datos y programación estadística.
Pymc Advi Hmc Demo
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5
Demonstrating HMC and ADVI algorithms for Bayesian data analysis using PYMC3.
Ddpm
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5
This is an easy to understand, simplified, broken-down implementation of Diffusion Models written in PyTorch. The architecture is borrowed from the paper "Denoising Diffusion Probabilistic Models"
Kosmo Kompress
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5
Code for leveraging Information Maximising Neural Networks for optimal cosmological field compression and Bayesian inference for cosmological parameters
Maelstrom
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5
Forward modelling of pulsating stars in binaries
Chempymulti
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5
Multi-Star Bayesian Inference with Chempy: Start with the Tutorial
Bayesian_intro
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5
Self-study materials to give you an introduction to Bayesian inference with python
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