793 Open source projects that are alternatives of or similar to Pytorch Bayesiancnn

Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available

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Statistical Rethinking with PyTorch and Pyro

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Bayesian inference with probabilistic programming.

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A Python package for building Bayesian models with TensorFlow or PyTorch

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How to do Bayesian statistical modelling using numpy and PyMC3

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A Bayesian Analysis Toolkit in Julia

A high-level Bayesian analysis API written in Python

Modular Probabilistic Programming on MXNet

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

Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.

shinystan R package and ShinyStan GUI

Probabilistic programming via source rewriting

Code examples for new APIs of iOS 10.

Depth estimation with neural network, and learning on RGBD images

Scripts for https://www.nature.com/articles/s41598-018-27707-4, using Convolutional Neural Network to detect lung cancer tumor area

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

Transformations to contrained variables from ℝⁿ.

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

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A collection of Bayesian data analysis recipes using PyMC3

Labeled images of the Where's Waldo puzzle for use in classification and image recognition problems.

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

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Statistical Rethinking (2nd ed.) with NumPyro

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CNN image classifier implemented in Keras Notebook 🖼️.

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