159 skills found · Page 1 of 6
xinychen / Awesome Latex DrawingDrawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.
dotnet / InferInfer.NET is a framework for running Bayesian inference in graphical models
easystats / BayestestR:ghost: Utilities for analyzing Bayesian models and posterior distributions
automl / RoBORoBO: a Robust Bayesian Optimization framework
resibots / LimboA lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++11)
uber / BayesmarkBenchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
LCAS / BayestrackingC++ framework for Bayesian Filter Tracking (UKF, EKF, Particles)
roahmlab / Sel MapSemantic ELevation (SEL) map is a semantic Bayesian inferencing framework for real-time elevation mapping and terrain property estimation from RGB-D images.
gradientinstitute / AbolethA bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation
brianstock / MixSIARA framework for Bayesian mixing models in R:
ai-med / QuickNAT PytorchPyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
HHammond / KcboA Bayesian testing framework written in Python.
dsilvestro / PyRatePyRate is a program to estimate speciation, extinction, and preservation rates from fossil occurrence data using a Bayesian framework.
lok / BayesianKitA Cocoa framework implementing a bayesian classifier
fmagrini / Bayes BayGeneralised Bayesian inversion framework
epinowcast / EpinowcastA modular Bayesian framework for real-time infectious disease surveillance. Provides tools for nowcasting, reproduction number estimation, delay estimation, and forecasting from data subject to reporting delays, right-truncation, missing data, and incomplete ascertainment
nasa / Li Ion Battery Prognosis Based On Hybrid Bayesian PINNCode used to generate the results of the paper: Nascimento et al. A framework for Li-ion battery prognosis based on hybrid Bayesian physics-informed neural networks.
seemyon / SmallmlSmallML is a three-layer Bayesian framework that enables small and medium-sized enterprises (SMEs) to build production-grade machine learning models despite having limited customer data.
liuq-lab / Bayesgmbayesgm: An AI-powered versatile Bayesian Generative Modeling Framework
ytopt-team / Ytoptytopt: machine-learning-based autotuning and hyperparameter optimization framework using Bayesian Optimization
