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The Top 23 Jupyter Notebook Bayesian Open Source Projects

Open source projects categorized as Jupyter Notebook Bayesian
Categories > Machine Learning > Bayesian
Categories > Data Processing > Jupyter Notebook
Deep_learning_for_manufacturing ⭐ 24
Bayesian Deep Learning and Deep Reinforcement Learning for Object Shape Error Response and Correction of Manufacturing Systems
most recent commit 2 years ago
Embracinguncertainty ⭐ 24
Material for AMLD 2020 workshop "Bayesian Inference: embracing uncertainty"
most recent commit 2 years ago
Bayesian_optimization ⭐ 23
Bayesian optimization
most recent commit 4 years ago
Lcbnn ⭐ 23
most recent commit 2 years ago
Deepglm ⭐ 23
Train deepGLM with Matlab, R and Python
most recent commit a year ago
Pymc Data Umbrella ⭐ 23
Website: Data Umbrella & PyMC open source sessions
most recent commit a year ago
Turingbnpbenchmarks ⭐ 22
Benchmarks of Bayesian Nonparametric models in Turing and other PPLs
most recent commit 3 years ago
Brent ⭐ 22
bayesian graphical modelling and a bit of do-calculus for discrete data.
most recent commit 4 years ago
Bayesprocess ⭐ 22
Physics informed Bayesian network + autoencoder for matching process / variable / performance in solar cells.
most recent commit 3 years ago
Bvep ⭐ 22
The Bayesian Virtual Epileptic Patient: a probabilistic framework designed to infer the spatial map of epileptogenicity in a personalized large-scale brain model of epilepsy spread
most recent commit 5 months ago
Pymc Stochastic Process ⭐ 22
Demonstrating the benefits of using Bayesian Inference and PYMC3 for estimating the parameters of stochastic processes commonly used in quantitative finance.
most recent commit 5 years ago
Pymc3_euss ⭐ 21
Course in Probabilistic Programming in Python for the 2018 EU Summer School
most recent commit 6 years ago
Abtestoo ⭐ 21
A/B testing and Multi-armed Bandits Made Easy
most recent commit 2 years ago
Neuralecology ⭐ 20
Code for the paper "Neural hierarchical models of ecological populations"
most recent commit a year ago
Bayesian Workflow With Pymc ⭐ 20
Repository with code, notebook and slides for my talk at PyConDE & PyData Berlin 2019
most recent commit 4 years ago
Lipo ⭐ 20
Global, derivative-free optimization for hyperparameter tuning
dependent packages 1total releases 5most recent commit 2 years agopypi lipo} Downloads
Pulsar_timing_school ⭐ 19
Learning material for pulsar timing data analysis
most recent commit 3 years ago
Astrohackweek2019 ⭐ 19
most recent commit 5 years ago
Advanced Deep Learning ⭐ 18
Files for the Advanced Machine Learning Coursera course
most recent commit 6 years ago
Sgld ⭐ 18
Stochastic Gradient Langevin Dynamics for Bayesian learning
most recent commit 2 years ago
Sequential Parallelization Examples ⭐ 17
This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.
most recent commit 8 months ago
Datascience ⭐ 17
My data science projects, in Python and R, about statistical learning and Bayesian inference.
most recent commit 4 months ago
Variationalautoencoders ⭐ 17
Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.
most recent commit 6 years ago
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