bayesian-inference
There are 2115 repositories under bayesian-inference topic.
ddbourgin/numpy-ml
Machine learning, in numpy
pymc-devs/pymc
Bayesian Modeling and Probabilistic Programming in Python
pyro-ppl/pyro
Deep universal probabilistic programming with Python and PyTorch
stan-dev/stan
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.
sahibzada-allahyar/YC-Killer
A library of enterprise-grade AI agents designed to democratize artificial intelligence and provide free, open-source alternatives to overvalued Y Combinator startups. If you are excited about democratizing AI access & AI agents, please star ⭐️ this repository and use the link in the readme to join our open source AI research team.
pyro-ppl/numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
mckinsey/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
google/neural-tangents
Fast and Easy Infinite Neural Networks in Python
avehtari/BDA_course_Aalto
Bayesian Data Analysis course at Aalto
thu-ml/zhusuan
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
TuringLang/Turing.jl
Bayesian inference with probabilistic programming.
pymc-devs/pymc-resources
PyMC educational resources
JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
dotnet/infer
Infer.NET is a framework for running Bayesian inference in graphical models
janosh/awesome-normalizing-flows
Awesome resources on normalizing flows.
kumar-shridhar/PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
paul-buerkner/brms
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
pptacher/probabilistic_robotics
solution of exercises of the book "probabilistic robotics"
bambinos/bambi
BAyesian Model-Building Interface (Bambi) in Python.
tum-pbs/pbdl-book
Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition
stan-dev/rstan
RStan, the R interface to Stan
avehtari/BDA_py_demos
Bayesian Data Analysis demos for Python
blackjax-devs/blackjax
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
brylevkirill/notes
Learn about Machine Learning and Artificial Intelligence
awslabs/fortuna
A Library for Uncertainty Quantification.
FRBNY-DSGE/DSGE.jl
Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
sbi-dev/sbi
sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has you covered.
JWarmenhoven/DBDA-python
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
ericmjl/bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
IntelLabs/bayesian-torch
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
avehtari/BDA_R_demos
Bayesian Data Analysis demos for R
ericmjl/bayesian-analysis-recipes
A collection of Bayesian data analysis recipes using PyMC3
erdogant/bnlearn
Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.
pymc-devs/pytensor
PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.
thomaspinder/GPJax
Gaussian processes in JAX and Flax.
dawenl/vae_cf
Variational autoencoders for collaborative filtering