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csinva/imodels

Interpretable ML package for concise, transparent, and accurate predictive modeling.

1.6K
Stable
Jupyter Notebook
React
#machine-learning#explainable-ai#interpretable-models

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

HIPS/Spearmint

Spearmint is a Bayesian optimization codebase for AI and machine learning experiments.

1.6K
Archived
Python
Agents & Orchestration
Inference
Python
#bayesian-optimization#hyperparameter-tuning#machine-learning

JasperSnoek/spearmint

Spearmint is a Python package for performing Bayesian optimization of machine learning algorithms.

1.4K
Archived
Python
ML Ops
#bayesian-optimization#machine-learning#hyperparameter-tuning

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

LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms

A library for implementing hyperparameter optimization methods for machine learning and deep learning models.

1.3K
Archived
Jupyter Notebook
ML Ops
ORMs & Query Builders
Python
#machine-learning#deep-learning#hyperparameter-optimization

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

TheEconomist/us-potus-model

This is a dynamic multilevel Bayesian model for predicting US presidential elections, written in R and Stan.

1.3K
Archived
HTML
ML Ops
API Frameworks
#election-prediction#bayesian-model#r-programming

SimonBlanke/Gradient-Free-Optimizers

Optimizes numerical and discrete search spaces with various gradient-free optimization techniques.

1.3K
Active
Python
Optimization
CLI Tools
Python
#bayesian-optimization#blackbox-optimization#constrained-optimization

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

gempy-project/gempy

GemPy is an open-source 3D structural geological modeling software for implicit creation of complex geological models.

1.2K
Active
Python
API Frameworks
Databases
Python
#bayesian#complex-geological-models#geological

automl/SMAC3

SMAC3 is a versatile Bayesian optimization package for hyperparameter optimization in machine learning models.

1.2K
Stable
Python
Automated Machine Learning
Hyperparameter Optimization
#algorithm-configuration#bayesian-optimization#hyperparameter-tuning

eBay/bayesian-belief-networks

A Python library for creating and performing exact inference on Bayesian Belief Networks.

1.1K
Archived
Python
Inference
API Frameworks
#bayesian-networks#probabilistic-modeling#machine-learning

pymc-labs/pymc-marketing

Bayesian marketing toolbox in PyMC with models for media mix, customer lifetime value, and buy-till-you-die.

1.1K
Active
Python
Machine Learning Ops
ORMs & Query Builders
Python
#data-science#marketing#bayesian-modeling

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

bayesgroup/deepbayes-2018

This GitHub repository contains seminars from the DeepBayes Summer School 2018, focused on Bayesian deep learning and variational inference.

1.0K
Archived
Jupyter Notebook
Variational Inference
Bayesian Deep Learning
Jupyter Notebook
#bayesian#deep-learning#variational-inference

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

google/lightweight_mmm

A lightweight Bayesian Marketing Mix Modeling (MMM) library for data scientists and marketers.

1.0K
Experimental
Python
Agents & Orchestration
Caching
Python
#bayesian#marketing-science#econometrics

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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