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ddbourgin/numpy-ml

A comprehensive machine learning library in Python with implementations of various algorithms and models.

16.3K
Archived
Python
ML Ops
#machine-learning#numpy#deep-learning

pymc-devs/pymc

A powerful Bayesian modeling and probabilistic programming library for Python developers.

9.5K
Active
Python
LLM Frameworks
Python
#bayesian-inference#mcmc#probabilistic-programming

pyro-ppl/pyro

A deep universal probabilistic programming library for Python and PyTorch, enabling Bayesian machine learning.

9.0K
Experimental
Python
LLM Frameworks
API Frameworks
PyTorch
#bayesian#probabilistic-modeling#variational-inference

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

pyro-ppl/numpyro

A probabilistic programming library powered by NumPy and JAX for Bayesian inference and MCMC sampling.

2.6K
Active
Python
Inference
Caching
NumPy
#bayesian-inference#hmc#jax

mckinsey/causalnex

A Python library to help data scientists infer causation from data rather than just observing correlation.

2.4K
Archived
Python
Machine Learning Ops
Caching
Python
#causal-inference#bayesian-networks#data-science

google/neural-tangents

Neural Tangents is a Python library for fast and easy infinite neural networks using JAX.

2.4K
Archived
Jupyter Notebook
LLM Frameworks
API Frameworks
JAX
#neural-networks#bayesian-inference#gaussian-processes

TuringLang/Turing.jl

Turing.jl is a powerful Bayesian inference library for probabilistic programming in the Julia language.

2.2K
Active
Julia
LLM Frameworks
API Frameworks
#bayesian-inference#probabilistic-programming#bayesian-statistics

JavierAntoran/Bayesian-Neural-Networks

Pytorch implementations of various Bayesian neural network techniques for approximate inference and uncertainty quantification.

2.0K
Archived
Jupyter Notebook
ML Ops
Testing
PyTorch
#bayesian-inference#uncertainty-quantification#reproducible-research

dotnet/infer

Infer.NET is a C# framework for running Bayesian inference in graphical models, useful for machine learning.

1.6K
Stable
C#
Inference
API Frameworks
#bayesian-inference#machine-learning#graphical-models

paul-buerkner/brms

R package for Bayesian generalized multivariate non-linear multilevel models using Stan

1.4K
Active
R
Databases
ML Ops
#bayesian-inference#multilevel-models#statistical-models

pptacher/probabilistic_robotics

A C++ library for solving exercises in the book 'Probabilistic Robotics' for autonomous vehicle and robotics development.

1.3K
Archived
C++
Robotics
API Frameworks
#robotics#autonomous-vehicles#bayesian-inference

tum-pbs/pbdl-book

Physics-based Deep Learning Book v0.3 - a comprehensive resource for AI developers

1.3K
Stable
Jupyter Notebook
React
#deep-learning#artificial-intelligence#physics-based

bambinos/bambi

A Python library for building Bayesian statistical models and performing Bayesian inference.

1.2K
Active
Python
Bayesian Inference
Statistical Modeling
Python
#bayesian-statistics#regression-models#statistical-analysis

stan-dev/rstan

RStan is an R interface to the Stan probabilistic programming language, used for Bayesian data analysis and inference.

1.1K
Active
R
Bayesian Inference
Databases
#bayesian-statistics#mcmc#r-package

avehtari/BDA_py_demos

Provides Bayesian data analysis demos in Python for developers interested in probabilistic modeling.

1.0K
Stable
Jupyter Notebook
Databases
LLM Frameworks
Python
#bayesian-inference#mcmc#probabilistic-modeling

blackjax-devs/blackjax

BlackJAX is a Bayesian inference library for Python, focused on ease of use, speed, and modularity.

1.0K
Stable
Python
Inference
Sampling Methods
Python
#bayesian-inference#hamiltonian-monte-carlo#probabilistic-programming

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