Movatterモバイル変換

Skip to content

#

approximate-inference

Here are 42 public repositories matching this topic...

Language:All

Filter by language

All42 Python16 Jupyter Notebook14 R2 C1 Haskell1 Java1 Julia1 MATLAB1 OpenEdge ABL1

Sort:Most stars

Sort options

Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated

JavierAntoran /Bayesian-Neural-Networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

deep-learning reproducible-research regression pytorch uncertainty classification uncertainty-neural-networks bayesian-inference mcmc variational-inference hmc bayesian-neural-networks langevin-dynamics approximate-inference local-reparametrization-trick kronecker-factored-approximation mc-dropout bayes-by-backprop out-of-distribution-detection sgld

UpdatedOct 20, 2023
Jupyter Notebook

FranxYao /Deep-Generative-Models-for-Natural-Language-Processing

DGMs for NLP. A roadmap.

natural-language-processing parsing decoding text-generation generative-text generative-model graphical-models mcmc language-model generative-adversarial-networks variational-inference markov-chain-monte-carlo latent-variable-models normalizing-flows structured-prediction discrete-structures generative-models variational-autoencoders approximate-inference gradient-estimation

UpdatedDec 12, 2022

JuliaGaussianProcesses /Stheno.jl

Probabilistic Programming with Gaussian processes in Julia

machine-learning probabilistic-programming bayesian-inference gaussian-processes approximate-inference

UpdatedApr 1, 2025
Julia

Phylliade /awesome-machine-learning-robotics

A curated list of resources about Machine Learning for Robotics

machine-learning awesome reinforcement-learning deep-learning robotics deep-reinforcement-learning awesome-list curriculum-learning approximate-inference

UpdatedAug 26, 2019

joennlae /halutmatmul

Hashed Lookup Table based Matrix Multiplication (halutmatmul) - Stella Nera accelerator

machine-learning hardware pytorch hardware-acceleration approximate-inference maddness

UpdatedDec 10, 2023
Python

akosiorek /sqair

Implementation of Sequential Attend, Infer, Repeat (SQAIR)

tracking detection motion vae generative variational-inference approximate-inference representations-learning sqair vimco iwae

UpdatedApr 9, 2019
Jupyter Notebook

konstantinos-p /Bayesian-Neural-Networks-Reading-List

A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesian Deep Learning, by providing an overview of key papers. More details: "A Primer on Bayesian Neural Networks: Review and Debates"

deep-learning uncertainty uncertainty-neural-networks bayesian-inference mcmc variational-inference hmc bayesian-neural-networks langevin-dynamics approximate-inference local-reparametrization-trick kronecker-factored-approximation bayes-by-backprop sgld

UpdatedNov 1, 2023

dflemin3 /approxposterior

A Python package for approximate Bayesian inference and optimization using Gaussian processes

python inference bayesian-inference gaussian-processes bayesian-optimization approximate-inference

UpdatedNov 5, 2023
Python

YingzhenLi /Dropout_BBalpha

Implementations of the ICML 2017 paper (with Yarin Gal)

deep-learning bayesian bayesian-deep-learning approximate-inference

UpdatedDec 15, 2017
Python

JoeMWatson /input-inference-for-control

Input Inference for Control (i2c), a control-as-inference framework for optimal control

control robotics inference trajectory-optimization approximate-inference control-as-inference

UpdatedSep 6, 2023
Python

ermongroup /SPN_Variational_Inference

PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020

pytorch graphical-models variational-inference approximate-inference sum-product-networks probabilistic-circuits

UpdatedOct 11, 2021
Python

compops /gpo-smc-abc

Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods

particle-filter gaussian-processes bayesian-optimization stochastic-volatility-models portfolio-analysis approximate-bayesian-computation approximate-inference gaussian-process-optimisation alpha-stable-processes

UpdatedNov 29, 2017
Python

Sheev13 /bnn-mean-field-vi

machine-learning deep-learning pytorch bayesian-inference variational-inference bayesian-neural-networks bayesian-deep-learning approximate-inference mean-field-approximation mean-field-variational-inference

UpdatedSep 9, 2023
Jupyter Notebook

ocramz /bayesian-inference

machine-learning statistical-learning inference statistical-inference machine-learning-library bayesian-inference bayesian-statistics approximate-bayesian-computation approximate-inference

UpdatedJan 20, 2020
Haskell

tkusmierczyk /lcvi

Variational Bayesian decision-making for continuous utilities

machine-learning decision-making bayesian-inference variational-inference approximate-inference pytorch-implementation

UpdatedJan 23, 2020
Jupyter Notebook

UCL /rmcmc

Robust Markov chain Monte Carlo methods in R

r mcmc approximate-inference

UpdatedJan 22, 2026
R

lacerbi /infbench

Benchmark of posterior and model inference algorithms for (moderately) expensive likelihoods.

benchmark modeling computational-neuroscience model-selection approximate-inference

UpdatedAug 11, 2022
MATLAB

ztanml /arLMM

Approximate Ridge Linear Mixed Models (arLMM)

linear-mixed-models linear-mixed-effects-modelling hierarchical-models approximate-inference low-rank-approximation randomized-algorithm approximate-algorithms

UpdatedAug 3, 2019
C

Sheev13 /bayesian-inference

machine-learning inference classification logistic-regression bayesian-inference approximate-inference laplace-approximation bayesian-logistic-regression probabilistic-machine-learning 3f8

UpdatedNov 4, 2023
Jupyter Notebook

michaelellis003 /variational-inference

Variational Bayes and CAVI algorithms from Ormerod & Wand — approximate Bayesian inference examples in R

machine-learning r statistics bayesian-inference variational-inference approximate-inference

UpdatedFeb 20, 2026
R

Improve this page

Add a description, image, and links to theapproximate-inference topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with theapproximate-inference topic, visit your repo's landing page and select "manage topics."

[8]ページ先頭

©2009-2026 Movatter.jp