5,328 skills found · Page 1 of 178
CamDavidsonPilon / Probabilistic Programming And Bayesian Methods For Hackersaka "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 ;)
rlabbe / Kalman And Bayesian Filters In PythonKalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
pymc-devs / PymcBayesian Modeling and Probabilistic Programming in Python
pyro-ppl / PyroDeep universal probabilistic programming with Python and PyTorch
bayesian-optimization / BayesianOptimizationA Python implementation of global optimization with gaussian processes.
MingchaoZhu / DeepLearningPython 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
rlabbe / FilterpyPython Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
meta-pytorch / BotorchBayesian optimization in PyTorch
huawei-noah / HEBOBayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab
stan-dev / StanStan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
markdregan / Bayesian Modelling In PythonA python tutorial on bayesian modeling techniques (PyMC3)
avehtari / BDA Course AaltoBayesian Data Analysis course at Aalto
TuringLang / Turing.jlBayesian inference with probabilistic programming.
thu-ml / ZhusuanA probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
uber / OrbitA Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
xinychen / Awesome Latex DrawingDrawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.
JavierAntoran / Bayesian Neural NetworksPytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
krasserm / Bayesian Machine LearningNotebooks about Bayesian methods for machine learning
probcomp / Gen.jlA general-purpose probabilistic programming system with programmable inference
arviz-devs / ArvizExploratory analysis of Bayesian models with Python
