laplace-approximation

There are 0 repository under laplace-approximation topic.

fehiepsi / rethinking-numpyro
Statistical Rethinking (2nd ed.) with NumPyro
bayesian-statistics laplace-approximation markov-chain-monte-carlo causal-inference variational-inference python numpy
Language:Jupyter Notebook 428
Laplace
aleximmer / Laplace
Laplace approximations for Deep Learning.
approximate-bayesian-inference laplace-approximation deep-learning neural-network
Language:Python 420
JuliaTrustworthyAI / LaplaceRedux.jl
Effortless Bayesian Deep Learning through Laplace Approximation for Flux.jl neural networks.
bayesian-deep-learning julia laplace-approximation machine-learning
Language:Julia 34
DLR-RM / curvature
Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.
bayesian-inference bayesian-optimization deep-learning bayesian-deep-learning laplace-approximation robotics pytorch
Language:Python 28
thudzj / ELLA
Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')
bayesian-deep-learning laplace-approximation pytorch uncertainty-quantification
Language:Python 16
MaximeRobeyns / bayesian_lora
Bayesian Low-Rank Adaptation for Large Language Models
kfac laplace-approximation llm
Language:Python 13
JohannesBuchner / snowline
Fit and compare complex models quickly. Laplace Approximation, Variational Bayes, Importance Sampling.
bayesian-inference laplace-approximation monte-carlo
Language:Python 8
wiseodd / lapeft-bayesopt
Discrete Bayesian optimization with LLMs, PEFT finetuning methods, and the Laplace approximation.
bayesian-optimization laplace-approximation llm peft
Language:Python 7
jkbest2 / LaplaceApproximations.jl
Approximate integrals through second-order Taylor expansions
laplace-approximation
Language:Julia 5
mspronesti / advanced-statistical-inference
Notebooks for Advanced Statistical Inference(ASI) course at EURECOM
asi bayesian bayesian-inference bayesian-logistic-regression eurecom mcmc bayesian-linea kmeans laplace-approximation metropolis-hastings probabilistic-pca bayesian-statistics
Language:Jupyter Notebook 5
AaltoML / sfr
PyTorch implementation of Sparse Function-space Representation of Neural Networks
bayesian-inference bayesian-neural-networks deep-learning gaussian-processes laplace-approximation pytorch
Language:Jupyter Notebook 4
heal-research / HEAL.NonlinearRegression
Fit and evaluate nonlinear regression models.
laplace-approximation nonlinear-regression profile-likelihood symbolic-regression
Language:C# 3
Sheev13 / bayesian-inference
approximate-inference bayesian-inference bayesian-logistic-regression classification laplace-approximation logistic-regression machine-learning probabilistic-machine-learning inference 3f8
Language:Jupyter Notebook 2
4ment / laplus
Laplace approximation of the marginal likelihood
c laplace-approximation marginal-likelihood
Language:C 1
cplou99 / BayesianDL
We provide two notebooks that enable users to explore and experiment with some BDL techniques as Ensembles, MC Dropout and Laplace Approximation. In this way, they allow you to intuitively visualize the main differences among them in a Simulated Dataset and Boston Dataset.
bayesian-deep-learning ensembles laplace-approximation mc-dropout uncertainty
Language:Jupyter Notebook 1
Madhav-Kanda / AutoDiff-Inference
AutoDiff-Inference: Automatic Differentiation Inference. This Repository combines ADVI's change of variable power with Laplace Approximation to provide better inference for constrained parameters. Work done as a part of development of Bijax
bayesian-inference laplace-approximation machine-learning variational-inference
Language:Jupyter Notebook 1
MauroCE / Dissertation
Third year mathematics dissertation on variational, laplace and mcmc approximations of bayesian logistic regression
bayesian-inference mcmc laplace-approximation variational-inference variational-bayes logistic-regression python machine-learning statistics computational-statistics prml monte monte-carlo-simulation monte-carlo-sampling monte-carlo-simulations markov-chain markov-chain-monte-carlo variational variational-method variational-monte-carlo
Language:Jupyter Notebook 1
MauroCE / LogisticRegression
Base R Implementation of Logistic Regression from Scratch with Regularization, Laplace Approximation and more
logistic-regression logistic-regression-algorithm logistic-regression-classifier logistic-regression-models logistic-regression-scratch laplace-approximation gradient-ascent newton-method s3 regularization regularized-logistic-regression bayesian-logistic-regression base-r
Language:R 1
lorenzofavaro / nlp-ner-tagging
Implementation of a NER Tagging algorithm with Hidden Markov Model.
laplace-approximation natural-language-processing ner-tag ner-tagging nlp
Language:Jupyter Notebook 0
AaltoML / sfr-experiments
Code accompanying ICLR 2024 paper "Function-space Parameterization of Neural Networks for Sequential Learning"
bayesian-deep-learning bayesian-inference bayesian-neural-networks deep-learning gaussian-processes laplace-approximation pytorch
Language:Jupyter Notebook
CCBeard / LApprox
Lightweight package for utilizing the Laplace Approximation to compare Bayesian models
bayesian bayesian-inference laplace-approximation
Language:Jupyter Notebook
harrisonpim / uncertainty
🤔 Methods for measuring and visualising the uncertainty in neural networks
laplace-approximation machine-learning matplotlib mnist monte-carlo-dropout neural-network pytorch uncertainty-estimation
Language:Jupyter Notebook
tallamjr / bap-numpyro
Bayesian Analysis in Python (2nd ed.) with Numpyro
numpyro variational-inference laplace-approximation bayesian-inference bayesian-data-analysis markov-chain-monte-carlo
Language:Jupyter Notebook