32 skills found · Page 1 of 2
yaringal / DropoutUncertaintyExpsExperiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"
yaringal / DropoutUncertaintyCaffeModelsDropout As A Bayesian Approximation: Code
RelationRx / Pyrelationalpyrelational is a python active learning library for rapidly implementing active learning pipelines from data management, model development (and Bayesian approximation), to creating novel active learning strategies.
gradientinstitute / AbolethA bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation
atomflunder / SkillratingsRust library for popular skill rating algorithms like Elo, Glicko-2, TrueSkill and many more.
xuwd11 / Dropout Tutorial In PyTorchDropout as Regularization and Bayesian Approximation
JuliaTrustworthyAI / LaplaceRedux.jlEffortless Bayesian Deep Learning through Laplace Approximation for Flux.jl neural networks.
adtech-labs / Bayes LogisticBayesian Logistic Regression using Laplace approximations to the posterior.
prelude404 / VBAKF QAlgorithm: adaptive kalman filter, variational bayesian approximation, unknown process noise covariance.
wiseodd / Lapeft BayesoptDiscrete Bayesian optimization with LLMs, PEFT finetuning methods, and the Laplace approximation.
ab39826 / TrafficDetectionWe implement a system for vehicle detection and tracking from traffic video using Gaussian mixture models and Bayesian estimation. The system provides robust foreground segmentation of moving vehicles through a K-means clustering approximation as well as vehicle tracking correspondence between frames by correlating Kalman and particle filters.
thudzj / ELLACode for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')
codecombat / Bayesian BattleA module to do scoring of games based on Bayesian Approximation
federicobergamin / Riemannian Laplace ApproximationRepository for the paper "Riemannian Laplace approximations for Bayesian neural networks"
Ludvins / Variational LLARepository for Variational Linearized Laplace Approximation for Bayesian Deep Learning
imedslab / Greedy Ensembles TrainingGreedy Bayesian Posterior Approximation with Deep Ensembles. A. Tiulpin and M. B. Blaschko. (2021)
atapour / Ransomware ClassificationTraining and testing pipeline for ransomware classification based on screenshots of the splash screens or ransom notes (https://arxiv.org/pdf/1908.06750.pdf).
Klitter / A Bayesian Federated Learning Framework With Online Laplace ApproximationNo description available
bayesflow-org / JANA PaperContains the code accompanying the paper "JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models"
whilo / BdropoutImplementation of Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
