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CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

Bayesian methods and probabilistic programming in Python with PyMC

28.4K

Archived

Jupyter Notebook

Inference

Books & Guides

PyMC

#bayesian-methods#data-science#pymc

blei-lab/edward

Edward is a probabilistic programming language in TensorFlow for deep generative models and variational inference.

4.8K

Archived

Jupyter Notebook

LLM Frameworks

Data Science

TensorFlow

#bayesian-methods#deep-learning#neural-networks

tensorflow/probability

Probabilistic reasoning and statistical analysis tools built on TensorFlow for data scientists and ML researchers.

4.4K

Active

Jupyter Notebook

ML Ops

Databases

TensorFlow

#bayesian-methods#deep-learning#machine-learning

stan-dev/stan

An open-source C++ library for Bayesian inference and data analysis using Markov Chain Monte Carlo (MCMC) methods.

2.7K

Active

C++

Bayesian

API Frameworks

#bayesian-inference#statistical-modeling#mcmc

krasserm/bayesian-machine-learning

This repository provides Jupyter notebooks for learning about Bayesian methods for machine learning.

1.9K

Archived

Jupyter Notebook

Machine Learning

#bayesian-methods#machine-learning#gaussian-processes

google/uncertainty-baselines

High-quality implementations of standard and state-of-the-art methods for Bayesian and probabilistic machine learning.

1.6K

Active

Python

ML Ops

Fine-tuning

TensorFlow

#bayesian-methods#probabilistic-programming#data-science

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