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99 search results found

Numpy Ml ⭐ 14,162

Machine learning, in numpy

Deep universal probabilistic programming with Python and PyTorch

Causalnex ⭐ 2,109

A Python library that helps data scientists to infer causation rather than observing correlation.

Turing.jl ⭐ 1,925

Bayesian inference with probabilistic programming.

Infer ⭐ 1,519

Infer.NET is a framework for running Bayesian inference in graphical models

Awesome Normalizing Flows ⭐ 1,232

Awesome resources on normalizing flows.

Fortuna ⭐ 824

A Library for Uncertainty Quantification.

Simulation-based inference toolkit

Bnlearn ⭐ 406

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

Measuretheory.jl ⭐ 377

"Distributions" that might not add to one.

Gaussian processes in JAX.

Stheno.jl ⭐ 327

Probabilistic Programming with Gaussian processes in Julia

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

A resource list for causality in statistics, data science and physics

⚡️ zeus: Lightning Fast MCMC ⚡️

Probabilistic Models ⭐ 196

Collection of probabilistic models and inference algorithms

Bayesianrecurrentnn ⭐ 196

Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al

A Bayesian Analysis Toolkit in Julia

The Books Making You Better ⭐ 169

A list of time-lasting classic books, which not only help you figure out how it works, but also grasp when it works and why it works in that way.

Gaussian Processes for Experimental Sciences

Survival Analysis Using Deep Learning ⭐ 138

This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis

Invertiblenetworks.jl ⭐ 131

A Julia framework for invertible neural networks

Ml_algo_in_depth ⭐ 124

ML algorithms in depth

Statrethink_course_in_pymc3 ⭐ 119

Statistical Rethinking course in pymc3

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

Paramonte ⭐ 112

ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.

Probflow ⭐ 108

A Python package for building Bayesian models with TensorFlow or PyTorch

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

PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python

Mxfusion ⭐ 93

Modular Probabilistic Programming on MXNet

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.

🐙 Generalized additive models in Python with a Bayesian twist

Paper Reading ⭐ 64

Density estimation likelihood-free inference

Data Analysis In Action ⭐ 57

📖 R 语言数据分析实战（写作中） Data Analysis in Action Using R

Bayesian MCMC matrix factorization algorithm

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

Bayesian inference for Gaussian mixture model with some novel algorithms

Probabilistic question-asking system: the program asks, the users answer. The minimal goal of the program is to identify what the user needs (a target), even if the user is not aware of the existence of such a thing/product/service.

Cosmopower ⭐ 45

Machine Learning - accelerated Bayesian inference

A Latent Dirichlet Allocation implementation in Python.

pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation

Harmonic ⭐ 36

Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection

Artificial_neural_networks ⭐ 35

A collection of Methods and Models for various architectures of Artificial Neural Networks

Astrostatistics_bicocca_2023 ⭐ 32

Astrostatistics and Machine Learning class for the MSc degree in Astrophysics at the University of Milan-Bicocca (Italy)

Autogp.jl ⭐ 30

Automated Bayesian model discovery for time series data

Dpmmsubclusters.jl ⭐ 30

Distributed MCMC Inference in Dirichlet Process Mixture Models (High Performance Machine Learning Workshop 2019)

nessai: Nested Sampling with Artificial Intelligence

Bayesianlinearregressors.jl ⭐ 28

Bayesian Linear Regression in Julia

Bayeshmm ⭐ 26

Full Bayesian Inference for Hidden Markov Models

Conditional Associative Logic Memory

Library of composable generative population models which serve as the modeling and inference backend of BayesDB.

Code for AutoGP

Blangsdk ⭐ 22

Blang's software development kit

Susiepca ⭐ 20

Scalable Ultra-Sparse Bayesian PCA

Potentiallearning.jl ⭐ 17

An open source Julia library for active learning of interatomic potentials in atomistic simulations of materials. It incorporates elements of bayesian inference, machine learning, differentiable programming, software composability, and high-performance computing.

SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.

Mathepideeplearning ⭐ 15

Awesome-spatial-temporal-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included. Keep updating.

3dmmdepthfitting ⭐ 15

Efficient 3D Morphable Model Face Fitting using Depth Sensing Technologies

19 Questions ⭐ 15

A machine learning / bayesian inference engine assigning attributes to objects

(NeurIPS 2022) Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination

Zhusuan Pytorch ⭐ 14

An Elegant Library for Bayesian Deep Learning in PyTorch

Kernel Ep ⭐ 14

UAI 2015. Kernel-based just-in-time learning for expectation propagation

Bayesianml ⭐ 14

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

Zhusuan Jittor ⭐ 13

Zhusuan with backend Jittor

Infer the gender of an individual based on their name.

Cosmopower Jax ⭐ 13

Differentiable cosmological emulators: the JAX version of cosmopower

Trilearn ⭐ 12

Bayesian structure learning and classification in decomposable graphical models.

Deep Gaussian Process ⭐ 12

🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0

Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration

State-space deep Gaussian processes in Python and Matlab

Minimal Gaussian process library in JAX with a simple (custom) approach to state management.

Clj Stan ⭐ 11

A library to interface with STAN.

Bnpmix.jl ⭐ 11

Bayesian Nonparametric Mixture Models in Julia

Fast Bayesian Hidden Markov Model with Wavelet Compression

Dynetlsm ⭐ 10

DynetLSM: latent space models for dynamic networks

Pythonbrmltoolbox ⭐ 10

Python 3.7 version of David Barber's MATLAB BRMLtoolbox

🎶 A collection of études on probabilistic models.

Scalable Generative Models for Mullti-label Learning with Missing Labels

A Python library for Bayesian Anomaly Detection

Balanced Nre ⭐ 9

Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".

Professional Workshop 3 ⭐ 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]

Bayes Trex ⭐ 8

2021 AAAI Paper, "Bayes-TrEx: A Bayesian Sampling Approach to Model Transparency by Example"

Libtext_bayes ⭐ 8

Just another Naive Bayes text classifier library for C++

Understanding Bayesian Classification ⭐ 8

On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification

Bayesian Methods For Machine Learning ⭐ 8

Bayesian Methods for Machine Learning

Stochastic_seismic_waveform_inversion ⭐ 8

Official Implementation of "Stochastic seismic waveform inversion using generative adversarial networks as a geological prior"

Visual Explanation using Uncertainty based Class Activation Maps

Zhusuan Paddlepaddle ⭐ 8

Zhusuan with backend PaddlePaddle

Bodywork Pymc3 Project ⭐ 8

Serving Uncertainty with Bayesian inference, using PyMC3 with Bodywork

Hierarchical Irm ⭐ 8

Probabilistic structure discovery for rich relational systems

AISTATS 2016. K2-ABC: Approximate Bayesian Computation with Kernel Embeddings.

Some collection of codes that are used in data mining and data science related fields, developed by me

Metric Gaussian Variational Inference

Bayesian Non-Parametric Image Segmentation using HDP-MRF

Pymc Advi Hmc Demo ⭐ 5

Demonstrating HMC and ADVI algorithms for Bayesian data analysis using PYMC3.

Gaussian Process tiny explorer

Plausible Uncertainties ⭐ 5

Methods used in the paper "Plausible Uncertainties for Human Pose Regression".

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