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GitHub topics: bayesian-machine-learning

StochasticTree/stochtree

Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference

Language: C++ - Size: 40.4 MB - Last synced at: 9 days ago - Pushed at: 10 days ago - Stars: 59 - Forks: 17

BayesianRL/BayesianArena.jl

A problemset for uncertainty quantification and knowledge injection into reinforcement learning and active inference agents

Language: Julia - Size: 206 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

jlparkI/xGPR

Efficient approximate Bayesian machine learning

Language: Python - Size: 7.75 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 7 - Forks: 1

roeey777/huji-all-exercises

All my solutions to homework from various CS courses in HUJI

Language: Python - Size: 225 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

ermongroup/a-nice-mc

Code for "A-NICE-MC: Adversarial Training for MCMC"

Language: Jupyter Notebook - Size: 6.42 MB - Last synced at: 27 days ago - Pushed at: over 7 years ago - Stars: 126 - Forks: 28

bayesml/BayesML

BayesML: your first library for Bayesian machine learning

Language: Python - Size: 11 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 15 - Forks: 1

VerisimilitudeX/PasswordLLM

A fast combinatorial tool that tests your password against real-world scenarios utilizing a novel Bayesian Machine Learning (BML) approach.

Language: Rust - Size: 11.8 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 15 - Forks: 2

krasserm/bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

Language: Jupyter Notebook - Size: 27.2 MB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 1,864 - Forks: 472

gradientinstitute/aboleth

A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation

Language: Python - Size: 4.39 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 128 - Forks: 10

wbasener/BayesianML

This is a GitHub repository for our Bayeisan Machine Learning textbook, which includes the PDF for the book and accompanying Python notebooks.

Language: Jupyter Notebook - Size: 11.6 MB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 24 - Forks: 19

OFAI/BayesianNonparametrics.jl

BayesianNonparametrics in julia

Language: Julia - Size: 284 KB - Last synced at: 7 months ago - Pushed at: about 7 years ago - Stars: 32 - Forks: 11

zjg540066169/SBMTrees

Source code for the paper "Nonparametric Bayesian Additive Regression Trees for Prediction and Missing Data Imputation in Longitudinal Studies"

Language: C++ - Size: 23.7 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

ax-va/Project-BayesianPy

This is a collection of algorithms and models written in Python for probabilistic programming. The main focus of the package is on Bayesian reasoning by using Bayesian networks, Markov networks, and their mixing.

Language: Python - Size: 1.54 MB - Last synced at: 8 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

jkfitzsimons/IPyNotebook_MachineLearning

This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.

Size: 3.51 MB - Last synced at: 7 months ago - Pushed at: over 10 years ago - Stars: 34 - Forks: 13

alifradi/Bishops-PRML-implementations

This is about Bishops Machine Learning tools implementation in a structured way with strong OOP practices, Video implementations in Tunisian dialect

Language: Python - Size: 1.43 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

shmouses/AI-enabled-HTE-Li-Production

AI-enabled lithium carbonate production with integrated CO2 capture, boosting and optimizing sustainable Li-ion battery production.

Language: Jupyter Notebook - Size: 26.7 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

wataruhashimoto52/bayesian-inference-cpp

Bayesian Machine Learning

Language: C++ - Size: 8.79 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

AmazaspShumik/sklearn-bayes

Python package for Bayesian Machine Learning with scikit-learn API

Language: Jupyter Notebook - Size: 17.4 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 506 - Forks: 118

vince-CV/probabilistic-machine-learning

Key words: Bayesian analysis, Probabilistic programming, Data analysis, Bayesian machine learning... Using Python with its library PyMC3, pandas...

Language: Jupyter Notebook - Size: 992 KB - Last synced at: 5 months ago - Pushed at: over 6 years ago - Stars: 10 - Forks: 7

EhtashamBillah/Bayesian-Machine-Learning-in-Breast-Cancer-Diagnosis

The aim of this project is to apply Bayesian Machine Learning Algorithm to predict the diagnosis condition of the patients.

Language: R - Size: 1.71 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

SSubhnil/BAC-DAC-gym

Bayesian Actor-Critic with Neural Networks. Developing an OpenAI Gym toolkit for Bayesian AC reinforcement learning.

Language: Python - Size: 1.8 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 1

itsayushthada/Probabislitc-Deep-Learning

Exploration of TensorFlow-2 and TensorFlow probability to implement Bayesian Neural Networks, Normalizing flows, real NVPs and Autoencoders. Exploration of Bayesian Modelling and Variational Inference with Pyro.

Language: Jupyter Notebook - Size: 20.3 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 3

sbrml/gaussian_processes

Language: Jupyter Notebook - Size: 2.05 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 1

sleglaive/BayesianML

Bayesian methods for machine learning course at CentraleSupélec

Language: Jupyter Notebook - Size: 121 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 2

o-ikne/BML-Project

Bayesian Machine Learning Project

Language: Jupyter Notebook - Size: 9.45 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

AndreaGhiglione/advanced-statistical-inference

Exercises on Bayesian linear regression, Gaussian Processes, Metropolis-Hastings Inference for Bayesian Logistic Regression, K-means and Probabilistic PCA. Made at Institut EURECOM (FR)

Language: Jupyter Notebook - Size: 8.33 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

ian-flores/bayesian_and_ml_papers

Size: 12.2 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 0

rgualan/soton-data-science-thesis

Platform for automatic processing of (aq-tngapms) Air Quality using TNGAPMS

Language: R - Size: 10.7 MB - Last synced at: about 2 years ago - Pushed at: about 8 years ago - Stars: 1 - Forks: 0

ishaanb92/BayesianML

Assignment code for Bayesian ML course on Coursera

Language: Jupyter Notebook - Size: 2.59 MB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

ck-unifr/udemy-bayesian-machine-learning-ab-test

Repo of udemy bayesian machine learning A/B test

Language: Python - Size: 13.7 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 1

Related Keywords
bayesian-machine-learning 30 machine-learning 13 bayesian-inference 9 bayesian-methods 6 gaussian-processes 6 variational-inference 3 bayesian 3 python 3 deep-learning 3 statistics 2 ai 2 tensorflow 2 bayesian-optimization 2 reinforcement-learning 2 probabilistic-graphical-models 1 probabilistic-programming 1 probabilistic-reasoning 1 ipython-notebook 1 monte-carlo 1 data-analysis 1 bayesian-analysis 1 scikit-learn 1 kernel-methods 1 prml 1 cpp 1 sustainable-battery-production 1 active-learning 1 co2-capture 1 sustainability 1 lithium-production 1 co2-emissions 1 lithium-ion-batteries 1 high-throughput-experimentation 1 udemy 1 a-b-testing 1 coursera 1 visualization 1 spatio-temporal 1 sensors 1 pollution 1 air 1 stochastic-gradient-descent 1 sparse-gaussian-processes 1 gplvm 1 tensorflow-probability 1 tensorflow-2 1 pyro 1 probabilistic-modelling 1 probabilistic-deep-learning 1 bayesian-neural-networks 1 model-free-rl 1 gym 1 continuous-control 1 bayesian-reinforcement-learning 1 actor-critic 1 classification 1 breast-cancer-diagnosis 1 uncertainty 1 neural-networks 1 markov-chain-monte-carlo 1 markov-chain 1 generative-models 1 generative-adversarial-network 1 operating-system 1 nand2tetris 1 introduction-to-machine-learning 1 introduction-to-computer-science 1 image-processing 1 huji 1 random-fourier-features 1 uncertainty-quantification 1 probabilistic-machine-learning 1 decision-making-under-uncertainty 1 decision-making 1 active-inference 1 tree-ensembles 1 probabilistic-models 1 gradient-boosted-trees 1 decision-trees 1 bart 1 pgm 1 markov-networks 1 markov-network 1 machine-learning-algorithms 1 inference 1 bayesian-reasoning 1 bayesian-networks 1 bayesian-network 1 missing-data-imputation 1 longitudinal-data 1 julia 1 dirichlet-process-mixtures 1 bayesian-nonparametric-models 1 deep-neural-networks 1 variational-autoencoder 1 rust 1 ml 1 hacktoberfest 1 gpt 1 bayesian-statistics 1