probai-2019Materials of the Nordic Probabilistic AI School 2019.
Stars: ✭ 127 (+53.01%)
Mutual labels: bayesian, probabilistic-models, summer-school, deep-generative-models, probabilistic-machine-learning, probabilistic-ai
BayesianNeuralNetsBayesian neural networks in PyTorch
Stars: ✭ 17 (-79.52%)
Mutual labels: bayesian
tukeyMini stats toolkit for Clojure/Script
Stars: ✭ 17 (-79.52%)
Mutual labels: bayesian
phyrFunctions for phylogenetic analyses
Stars: ✭ 23 (-72.29%)
Mutual labels: bayesian
awesome-agi-cocosciAn awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.
Stars: ✭ 81 (-2.41%)
Mutual labels: bayesian
mtaMulti-Touch Attribution
Stars: ✭ 60 (-27.71%)
Mutual labels: probabilistic-models
probnmn-clevrCode for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]
Stars: ✭ 63 (-24.1%)
Mutual labels: probabilistic-models
cmdstanrCmdStanR: the R interface to CmdStan
Stars: ✭ 82 (-1.2%)
Mutual labels: bayesian
models-by-exampleBy-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
Stars: ✭ 43 (-48.19%)
Mutual labels: bayesian
artificial neural networksA collection of Methods and Models for various architectures of Artificial Neural Networks
Stars: ✭ 40 (-51.81%)
Mutual labels: probabilistic-models
stan4bartUses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree (BART) components.
Stars: ✭ 13 (-84.34%)
Mutual labels: bayesian
DynamicHMCExamples.jlExamples for Bayesian inference using DynamicHMC.jl and related packages.
Stars: ✭ 33 (-60.24%)
Mutual labels: bayesian
probai-2021-pyroRepo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)
Stars: ✭ 45 (-45.78%)
Mutual labels: probabilistic-models
ai-buildersA program for kids who want to build good AI
Stars: ✭ 19 (-77.11%)
Mutual labels: summer-school
AI-cheat-sheetcheat sheet for Artificial Intelligence
Stars: ✭ 20 (-75.9%)
Mutual labels: bayesian
LogDensityProblems.jlA common framework for implementing and using log densities for inference.
Stars: ✭ 26 (-68.67%)
Mutual labels: bayesian
BASBAS R package https://merliseclyde.github.io/BAS/
Stars: ✭ 36 (-56.63%)
Mutual labels: bayesian
Machine Learning From ScratchMachine Learning models from scratch with a better visualisation
Stars: ✭ 15 (-81.93%)
Mutual labels: probabilistic-models
TensorFlow-AutoencodersImplementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder
Stars: ✭ 29 (-65.06%)
Mutual labels: bayesian
thomasAnother A/B test library
Stars: ✭ 20 (-75.9%)
Mutual labels: bayesian
