COLLECTED BY

Organization: Archive Team

Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.

History is littered with hundreds of conflicts over the future of a community, group, location or business that were "resolved" when one of the parties stepped ahead and destroyed what was there. With the original point of contention destroyed, the debates would fall to the wayside. Archive Team believes that by duplicated condemned data, the conversation and debate can continue, as well as the richness and insight gained by keeping the materials. Our projects have ranged in size from a single volunteer downloading the data to a small-but-critical site, to over 100 volunteers stepping forward to acquire terabytes of user-created data to save for future generations.

The main site for Archive Team is at archiveteam.org and contains up to the date information on various projects, manifestos, plans and walkthroughs.

This collection contains the output of many Archive Team projects, both ongoing and completed. Thanks to the generous providing of disk space by the Internet Archive, multi-terabyte datasets can be made available, as well as in use by the Wayback Machine, providing a path back to lost websites and work.

Our collection has grown to the point of having sub-collections for the type of data we acquire. If you are seeking to browse the contents of these collections, the Wayback Machine is the best first stop. Otherwise, you are free to dig into the stacks to see what you may find.

The Archive Team Panic Downloads are full pulldowns of currently extant websites, meant to serve as emergency backups for needed sites that are in danger of closing, or which will be missed dearly if suddenly lost due to hard drive crashes or server failures.

Collection: Archive Team: URLs

TIMESTAMPS

The Wayback Machine - https://web.archive.org/web/20220920215035/https://github.com/topics/bayesian-methods

#

bayesian-methods

Here are 270 public repositories matching this topic...

CamDavidsonPilon / Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

Sponsor

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

data-science statistics jupyter-notebook bayesian-methods pymc mathematical-analysis

Updated Sep 7, 2022
Jupyter Notebook

blei-lab / edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

data-science machine-learning statistics deep-learning tensorflow bayesian-methods neural-networks probabilistic-programming

Updated Oct 22, 2019
Jupyter Notebook

tensorflow / probability

Probabilistic reasoning and statistical analysis in TensorFlow

data-science machine-learning statistics deep-learning tensorflow bayesian-methods neural-networks probabilistic-programming

Updated Sep 20, 2022
Jupyter Notebook

stan-dev / stan

Sponsor

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

bayesian-methods bayesian bayesian-inference stan bayesian-data-analysis bayesian-statistics

Updated Sep 17, 2022
C++

krasserm / bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

machine-learning bayesian-methods gaussian-processes bayesian-optimization bayesian-machine-learning variational-autoencoder

Updated Jan 19, 2021
Jupyter Notebook

orbit

uber / orbit

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

Updated Sep 14, 2022
Python

google / uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

data-science machine-learning statistics deep-learning tensorflow bayesian-methods neural-networks probabilistic-programming

Updated Sep 20, 2022
Python

google / edward2

A simple probabilistic programming language.

data-science machine-learning statistics deep-learning tensorflow bayesian-methods neural-networks probabilistic-programming

Updated Aug 27, 2022
Jupyter Notebook

ericmjl / bayesian-analysis-recipes

Sponsor

A collection of Bayesian data analysis recipes using PyMC3

notebook bayesian-methods neural-networks bayesian bayesian-inference bayesian-data-analysis bayesian-statistics bayesian-analysis treatment-groups

Updated Jun 13, 2022
Jupyter Notebook

stan-dev / rstanarm

Sponsor

rstanarm R package for Bayesian applied regression modeling

r bayesian-methods rstan bayesian multilevel-models bayesian-inference stan r-package rstanarm bayesian-data-analysis bayesian-statistics statistical-modeling

Updated Sep 14, 2022
R

FrankPortman / bayesAB

🐢 bayesAB: Fast Bayesian Methods for A/B Testing

cran r bayesian-methods ab-testing bayesian-tests

Updated Jun 25, 2021
R

markovmodel / PyEMMA

🚂 Python API for Emma's Markov Model Algorithms 🚂

python markov-model hmm time-series analysis molecular-dynamics bayesian-methods tica hidden-markov-model markov-state-model umbrella-sampling mbar kinetic-modeling molecular-modeling

Updated Sep 13, 2022
Python

DAPPER

nansencenter / DAPPER

Data Assimilation with Python: a Package for Experimental Research

chaos bayesian-methods particle-filter kalman-filtering data-assimilation enkf state-estimation bayesian-filter kalman

Updated Jul 6, 2022
Python

tpapp / DynamicHMC.jl

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

julia julia-language bayesian-methods bayesian bayesian-inference hamiltonian-monte-carlo bayesian-statistics hybrid-monte-carlo

Updated Sep 1, 2022
Julia

stan-dev / shinystan

Sponsor

shinystan R package and ShinyStan GUI

r bayesian-methods bayesian bayesian-inference stan r-package shiny-apps statistical-graphics mcmc bayesian-data-analysis bayesian-statistics

Updated Aug 4, 2022
R

pints-team / pints

Probabilistic Inference on Noisy Time Series

bayesian-methods parameter-estimation numerical-optimization inverse-problems

Updated Aug 31, 2022
Python

BayesWatch / deep-kernel-transfer

Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

kernel deep-learning paper regression uncertainty bayesian-methods classification kernel-methods one-shot-learning uncertainty-quantification gaussian-processes kernels meta-learning shot-learning deep-kernel-learning few-shot-learning gpytorch

Updated Jan 19, 2022
Python

brendanhasz / probflow

A Python package for building Bayesian models with TensorFlow or PyTorch

python data-science machine-learning statistics tensorflow pytorch bayesian-methods bayesian bayesian-inference bayesian-statistics bayesian-neural-networks

Updated Aug 10, 2022
Python

fehiepsi / rethinking-pyro

Statistical Rethinking with PyTorch and Pyro

bayesian-methods bayesian-inference bayesian-data-analysis bayesian-statistics

Updated Oct 27, 2019
Jupyter Notebook

statrethink_course_in_pymc3

gbosquechacon / statrethink_course_in_pymc3

Statistical Rethinking course in pymc3

machine-learning statistics bayesian-methods bayesian bayesian-inference

Updated May 24, 2020
Jupyter Notebook

Improve this page

Add a description, image, and links to the bayesian-methods topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the bayesian-methods topic, visit your repo's landing page and select "manage topics."