Bayesian Statistics Collection

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🔥Flame

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“Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!”

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“It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.”

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🔥Fire

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“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. ”

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“Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop”

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“A python tutorial on bayesian modeling techniques (PyMC3)”

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“Bayesian inference with probabilistic programming.”

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“PyMC educational resources”

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🔮Psychic

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

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“Text and code for the second edition of Think Bayes, by Allen Downey.”

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🔮Psychic

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“Statistical package in Python based on Pandas”

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🔮Psychic

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“Gaussian processes in TensorFlow”

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🔮Psychic

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“Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch. ”

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🔮Psychic

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“BAyesian Model-Building Interface (Bambi) in Python.”

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“RStan, the R interface to Stan”

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“General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python”

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“Code for modelling estimated deaths and cases for COVID19. ”

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“Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.”

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🔮Psychic

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“A Python library for efficient Bayesian modeling with deep learning”