214 Open source projects that are alternatives of or similar to FBNN

Machine learning, in numpy

Probabilistic Programming with Gaussian processes in Julia

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Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html

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

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R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for inferring covariate effects and assessing covariate relevances. Various models can be specified using a convenient formula syntax.

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Probabilistic Programming with Gaussian processes in Julia

A Python package for approximate Bayesian inference and optimization using Gaussian processes

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Infer the gender of an individual based on their name.

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a deep recurrent model for exchangeable data

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.

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

Gaussian processes and Bayesian optimization for images and hyperspectral data

Pure julia implementation of Multiple Affine Invariant Sampling for efficient Approximate Bayesian Computation

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

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

Hierarchical, multi-label topic modelling with LDA

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Noisy network measurement with stan

A Latent Dirichlet Allocation implementation in Python.

Combining tree-boosting with Gaussian process and mixed effects models

Bayesian tools for fitting molecular mechanics torsion parameters to quantum chemical data.

Machine Learning - accelerated Bayesian inference

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

Deodorant: Solving the problems of Bayesian Optimization

Sparse Gaussian Process Potentials

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

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

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

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Material for a workshop on Bayesian stats with R

Material for a Bayesian statistics workshop

🐙 Generalized additive models in Python with a Bayesian twist

Generation of Synthetic Populations Library

This is a Project Page of 'Towards a complete 3D morphable model of the human head'

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A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.

Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead

A web interface for exploring PyMC3 traces

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Python library for Bayesian hyper-parameters optimization

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Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.

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