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Deep universal probabilistic programming with Python and PyTorch

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

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

Imodels ⭐ 1,229

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

Nips2017 ⭐ 913

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

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.

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

Bayesiandeeplearning Survey ⭐ 475

Bayesian Deep Learning: A Survey

Sklearn Bayes ⭐ 439

Python package for Bayesian Machine Learning with scikit-learn API

Bnlearn ⭐ 406

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

Multitask Learning ⭐ 374

Awesome Multitask Learning Resources

Bayesian optimization for Python

Gpflowopt ⭐ 218

Bayesian Optimization using GPflow

Bitcoin Price Prediction ⭐ 214

Bayesian regression for latent source model and Bitcoin

Bayesian Reinforcement Learning in Tensorflow

Bayesianlearning ⭐ 198

Bayesian Machine Learning

Bayesianrecurrentnn ⭐ 196

Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al

Probabilistic Models ⭐ 196

Collection of probabilistic models and inference algorithms

A Bayesian Analysis Toolkit in Julia

Batchbald ⭐ 174

Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

Cornell Moe ⭐ 165

A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.

Naive Bayes Classifier ⭐ 157

yet another general purpose naive bayesian classifier.

Machinelearning ⭐ 146

Course on Machine Learning and Statistical data Analysis with book at https://compphysics.github.io/MachineLearning/doc/ Contains Linear and Logistic Regression, Neural Networks and Deep Learning methods, Decision Trees, Random forests, Boosting methods and other ensemble methods, support vector machines and central unsupervised learning algorithms.

Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning

Forneylab.jl ⭐ 134

Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.

Learn To Select Data ⭐ 131

Code for Learning to select data for transfer learning with Bayesian Optimization

Awesome Active Learning ⭐ 120

Awesome Active Learning Paper List

Diffeqbayes.jl ⭐ 119

Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

Statrethink_course_in_pymc3 ⭐ 119

Statistical Rethinking course in pymc3

Probflow ⭐ 108

A Python package for building Bayesian models with TensorFlow or PyTorch

Lectures ⭐ 105

repository with the lectures for MLSS Skoltech

Toolbox ⭐ 104

A Java Toolbox for Scalable Probabilistic Machine Learning

Bankclassify ⭐ 101

Simple example of using a Naive Bayesian classification to classify entries in bank statements

A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.

Quicknat_pytorch ⭐ 99

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

A repository for recording the machine learning code

Parbayesianoptimization ⭐ 88

Parallelizable Bayesian Optimization in R

Pymc Example Project ⭐ 87

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

Bayesianoptimization.jl ⭐ 84

Bayesian optimization for Julia

Awesome Machine Learning ⭐ 84

📖 List of some awesome university courses for Machine Learning! Feel free to contribute!

Simple, but essential Bayesian optimization package

Lda Topic Modeling ⭐ 78

A PureScript, browser-based implementation of LDA topic modeling.

Gsoc17 Hhmm ⭐ 73

Bayesian Hierarchical Hidden Markov Models applied to financial time series, a research replication project for Google Summer of Code 2017.

Antispam ⭐ 73

Dead simple bayesian anti-spam classifier written in Python.

Bayesian machine learning in Python

🐙 Generalized additive models in Python with a Bayesian twist

Hyper Engine ⭐ 69

Python library for Bayesian hyper-parameters optimization

Paper Reading ⭐ 64

Tutorial ⭐ 63

Tutorial on Bayesian tests for Machine Learning

Bml Course ⭐ 62

Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille

Diffusion_models ⭐ 61

Minimal standalone example of diffusion model

Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)

Bayesianml ⭐ 55

Experiments in Bayesian Machine Learning

Bayesian MCMC matrix factorization algorithm

Judgyprophet ⭐ 51

Forecasting for knowable future events using Bayesian informative priors (forecasting with judgmental-adjustment).

Bayesian inference for Gaussian mixture model with some novel algorithms

A small, no dependencies, Naive Bayes Text Classifier for JavaScript

Sparsebn ⭐ 37

Software for learning sparse Bayesian networks

Course 5SSD0 - Bayesian Machine Learning and Information Processing

Bayes Skopt ⭐ 32

A fully Bayesian implementation of sequential model-based optimization

Bayesian Optimization ⭐ 31

Reference implementation of Optimistic Expected Improvement.

Max Value Entropy Search ⭐ 27

Max-value Entropy Search for Efficient Bayesian Optimization

Bayeshmm ⭐ 26

Full Bayesian Inference for Hidden Markov Models

Go Bayesopt ⭐ 25

A library for doing Bayesian Optimization using Gaussian Processes (blackbox optimizer) in Go/Golang.

Large Margin Nearest Neighbors implementation in python

Self-Taught Data Science

An open source machine learning library for performing regression tasks using RVM technique.

Bayesianoptimization.jl ⭐ 21

A julia package for bayesian optimization of black box functions.

Naive Apl ⭐ 21

Naive Bayesian Classifier written in APL

Ai Cheat Sheet ⭐ 19

cheat sheet for Artificial Intelligence

Variationalautoencoders ⭐ 17

Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.

Disease Detection ⭐ 17

Adversedrive ⭐ 16

Attacking Vision based Perception in End-to-end Autonomous Driving Models

Probabilistic Graphical Models ⭐ 16

19 Questions ⭐ 15

A machine learning / bayesian inference engine assigning attributes to objects

A Bayesian latent tree model of high-dimensional heterogeneous data

Thunderbayesr ⭐ 15

An R Package for Bayesian Nonparametric Clustering. We plan to implement several models.

Bayesianml ⭐ 14

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

Quick Data Science Experiments 2017 ⭐ 14

Quick-Data-Science-Experiments

Zhusuan Pytorch ⭐ 14

An Elegant Library for Bayesian Deep Learning in PyTorch

COBAYN: Compiler Autotuning Framework Using Bayesian Networks

Smartboost.jl ⭐ 12

SMARTboost (boosting of smooth symmetric regression trees)

Trilearn ⭐ 12

Bayesian structure learning and classification in decomposable graphical models.

Bayes_infotheory ⭐ 12

Lectures on Bayesian statistics and information theory

Machine learning and Databases at CAUP/IA in 2019

Ml Class Iap2017 ⭐ 11

Text Classification ⭐ 11

Text Classification engine using several algorithms in machine learning

Miles Guess ⭐ 11

Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.

A general-purpose probabilistic programming system with programmable inference.

Code repository for the research project "You Play Ball, I Play Ball: Bayesian Multi-Agent Reinforcement Learning for Slime Volleyball", won 1st Prize at 17th STePS.

Pythonbrmltoolbox ⭐ 10

Python 3.7 version of David Barber's MATLAB BRMLtoolbox

Bayesian Network Learning ⭐ 10

Learning the structure of the Bayesian network model.

Python framework for the reverse engineering of Hamiltonian models of quantum systems through machine learning.

Fast Bayesian Hidden Markov Model with Wavelet Compression

Predmarket ⭐ 10

Agent-based computational simulation analysis of trading behavior in climate change prediction markets

🎶 A collection of études on probabilistic models.

Pyconedward ⭐ 9

Slides for the tutorial talk on Bayesian Machine Learning at PyCon 2017

News Classification ⭐ 9

Classify news into categories based on headline.

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