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Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Bayesian neural networks in PyTorch
Implementing a bayesian neural network in TensorFlow
My solutions to exercises from avehtari Baesyan Data Analysis course
Bayesian Data Analysis course at Aalto
Bayesian Data Analysis demos for R
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
Bayesian Macroeconometrics in R
Bayesian Neural Network in PyTorch
Toolkit for the estimation of hierarchical Bayesian vector autoregressions. Implements hierarchical prior selection for conjugate priors in the fashion of Giannone, Lenza & Primiceri (2015). Allows for the computation of impulse responses and forecasts and provides functionality for assessing results.
Translation Of Koop And Korobilis BVAR Matlab Code Into R
R package for Bayesian Vector Autoregression
Functions for Bayesian inference of vector autoregressive models
A paper list for Time series modelling, including prediciton and anomaly detection
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.
A Python package for building Bayesian models with TensorFlow or PyTorch
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
R package - Quantile Regression Forests, a tree-based ensemble method for estimation of conditional quantiles (Meinshausen, 2006).
Bayesian inference with probabilistic programming.
A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.