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The Top 23 Learning Bayesian Open Source Projects

Open source projects categorized as Learning Bayesian
Categories > Machine Learning > Bayesian
Deeplearning ⭐ 2,347
Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
most recent commit 3 years ago
Zhusuan ⭐ 2,139
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
most recent commit 6 months ago
Nips2017 ⭐ 913
A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017
most recent commit 5 years ago
Deep Active Learning ⭐ 553
Deep Active Learning
most recent commit 6 months ago
Bayesiandeeplearning Survey ⭐ 423
Bayesian Deep Learning: A Survey
most recent commit 21 days ago
Bayes Nn ⭐ 423
Lecture notes on Bayesian deep learning
most recent commit 5 years ago
Awesome Bayesian Deep Learning ⭐ 375
A curated list of resources dedicated to bayesian deep learning
most recent commit 6 years ago
Multitask Learning ⭐ 374
Awesome Multitask Learning Resources
most recent commit 2 years ago
Bayesian Neural Network Blogpost ⭐ 317
Building a Bayesian deep learning classifier
most recent commit 5 years ago
Advancedml ⭐ 293
Reading list for the Advanced Machine Learning Course
most recent commit 4 months ago
Bnlearn ⭐ 270
Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
dependent packages 1total releases 63most recent commit 14 days agopypi bnlearn} Downloads
Awesome Spn ⭐ 221
A structured list of resources about Sum-Product Networks (SPNs)
most recent commit 2 years ago
Bayesian_neural_network_papers ⭐ 218
Papers for Bayesian-NN
most recent commit 4 years ago
Pilco ⭐ 213
Bayesian Reinforcement Learning in Tensorflow
most recent commit 2 years ago
Bayesianlearning ⭐ 198
Bayesian Machine Learning
most recent commit 8 months ago
Batchbald ⭐ 174
Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
most recent commit 2 years ago
Tutorial_bayesiancompressionfordl ⭐ 174
A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).
most recent commit 4 years ago
Icml2015_papers ⭐ 143
Links to ICML 2015 papers available on arxiv
most recent commit 8 years ago
Machinelearning ⭐ 125
Course on Machine Learning and Statistical data Analysis with book at https://compphysics.github.io/MachineLearning/doc/ Contains Linear and Logistic Regression, Neural Networks and Deep Learning methods, Decision Trees, Random forests, Boosting methods and other ensemble methods, support vector machines and central unsupervised learning algorithms.
most recent commit a month ago
Pybn ⭐ 123
Bayesian Networks in Python
most recent commit 6 months ago
Awesome Active Learning ⭐ 119
Awesome Active Learning Paper List
most recent commit 8 days ago
Lectures ⭐ 105
repository with the lectures for MLSS Skoltech
most recent commit 4 years ago
Toolbox ⭐ 104
A Java Toolbox for Scalable Probabilistic Machine Learning
most recent commit 2 years ago
The 3 Latest Releases In Learning Bayesian Open Source Projects
Bnlearn ⭐ 270
Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
dependent packages 1total releases 63latest release May 20, 2022most recent commit 14 days agopypi bnlearn} Downloads
Hyper Engine ⭐ 69
Python library for Bayesian hyper-parameters optimization
total releases 2latest release February 10, 2018most recent commit 5 years ago
Sparsebn ⭐ 37
Software for learning sparse Bayesian networks
total releases 5latest release September 12, 2017most recent commit 3 years ago
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