6744 Open source projects that are alternatives of or similar to Bayesian Neural Networks

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fastai V2 implementation of Timeseries classification papers.

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Using neural network to build expressive hierarchical distribution; A variational method to accurately estimate posterior uncertainty; A fast and general method for Bayesian inference. (ICML 2018)

Bayesian Deep Learning with Stochastic Gradient MCMC Methods

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Regression with Summary Statistics.

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

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

BAS R package https://merliseclyde.github.io/BAS/

The repository provides usefull python scripts for ML and data analysis

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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.

Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)

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tiny fast portable real-time deep neural network for regression and classification within 50 LOC.

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Full Bayesian Inference for Hidden Markov Models

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Curated Tensorflow code resources to help you get started with Deep Learning.

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

The bookdown version lives here: https://bookdown.org/content/3890

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

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

food image to recipe with deep convolutional neural networks.

A collection of Bayesian data analysis recipes using PyMC3

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

mlr3: Machine Learning in R - next generation

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🤖 A portable, header-only, artificial neural network library written in C99

LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.

Bayesian Data Analysis demos for R

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Examples use case of PHP-ML library.

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