82 Open source projects that are alternatives of or similar to Dl Uncertainty

Implementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder

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Python package for Bayesian Machine Learning with scikit-learn API

Implementing MCMC sampling from scratch in R for various Bayesian models

사회과학자를 위한 데이터과학 방법론 (코드 저장소)

Bayesian Changepoint Detection

Bayesian neural networks in PyTorch

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

An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

bayesplot R package for plotting Bayesian models

Bayesian Generalized Linear Models with Time-Varying Coefficients

Gauss Naive Bayes in Python From Scratch.

Bayesian Segmentation of Spatial Transcriptomics Data

Projection predictive variable selection

Another A/B test library

How to do Bayesian statistical modelling using numpy and PyMC3

arxiv.org/abs/1801.07710v2

An R package for experimental psychologists

Reproducible Bayesian data analysis pipelines with targets and cmdstanr

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to adress parameter and model uncertainties.

A common framework for implementing and using log densities for inference.

Seminars DeepBayes Summer School 2018

Exploratory analysis of Bayesian models with Julia

👻 Utilities for analyzing Bayesian models and posterior distributions

rstanarm R package for Bayesian applied regression modeling

Latent Dirichlet Allocation

A high-level Bayesian analysis API written in Python

A fast approximation to a Dirichlet Process Mixture model (DPM) for clustering genetic data

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Full Bayesian Inference for Hidden Markov Models

Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC

Materials of the Nordic Probabilistic AI School 2021.

A general-purpose probabilistic programming system with programmable inference

CmdStanR: the R interface to CmdStan

Bayesian Data Analysis demos for Python

cheat sheet for Artificial Intelligence

The posterior R package

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

A collection of Bayesian data analysis recipes using PyMC3

Functions for phylogenetic analyses

An interactive online reading of McElreath's Statistical Rethinking

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Bayesian Data Analysis demos for R

Examples for Bayesian inference using DynamicHMC.jl and related packages.

Matlab interface to Stan, a package for Bayesian inference

Mini stats toolkit for Clojure/Script

A python library for Bayesian time series modeling

Hidden Markov models in PyMC3

GPstuff - Gaussian process models for Bayesian analysis

Multi-core BUGS for fast Bayesian inference of large hierarchical models

📜 🎉 Automated reporting of objects in R

MTfit code for Bayesian Moment Tensor Fitting

C++ template library for probabilistic programming

High-performance Bayesian Data Analysis on the GPU in Clojure

Hierarchical Bayesian modeling of RLDM tasks, using R & Python

Bayesian multi-object tracking

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

Deep universal probabilistic programming with Python and PyTorch

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