JuliaGaussianProcesses/Stheno.jl

Probabilistic Programming with Gaussian processes in Julia

Language: Julia - Size: 294 MB - Last synced: 7 days ago - Pushed: 7 months ago - Stars: 335 - Forks: 26

ocramz/bayesian-inference

Language: Haskell - Size: 113 KB - Last synced: 19 days ago - Pushed: over 4 years ago - Stars: 7 - Forks: 1

dflemin3/approxposterior

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

Language: Python - Size: 50.1 MB - Last synced: 9 days ago - Pushed: 7 months ago - Stars: 40 - Forks: 9

Phylliade/awesome-machine-learning-robotics

A curated list of resources about Machine Learning for Robotics

Size: 11.7 KB - Last synced: about 1 month ago - Pushed: over 4 years ago - Stars: 114 - Forks: 19

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

DGMs for NLP. A roadmap.

Size: 32 MB - Last synced: 3 months ago - Pushed: over 1 year ago - Stars: 388 - Forks: 33

tmgrgg/localvsglobaluncertainty

Empirical analysis of recent stochastic gradient methods for approximate inference in Bayesian deep learning, including SWA-Gaussian, MultiSWAG, and deep ensembles. See report_localglobal.pdf.

Language: Python - Size: 13.8 MB - Last synced: 3 months ago - Pushed: over 2 years ago - Stars: 2 - Forks: 0

JavierAntoran/Bayesian-Neural-Networks

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

Language: Jupyter Notebook - Size: 15.6 MB - Last synced: 3 months ago - Pushed: 7 months ago - Stars: 1,697 - Forks: 289

ErfanXH/Sampling

Implementation of Prior, Rejection, Likelihood and Gibbs Sampling

Language: Python - Size: 275 KB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

lacerbi/infbench

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

Language: MATLAB - Size: 65.4 MB - Last synced: 4 months ago - Pushed: almost 2 years ago - Stars: 3 - Forks: 3

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"

Size: 82 KB - Last synced: 4 months ago - Pushed: 7 months ago - Stars: 29 - Forks: 2

joennlae/halutmatmul

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

Language: Python - Size: 3.09 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 170 - Forks: 8

Sheev13/bayesian-inference

Language: Jupyter Notebook - Size: 3.39 MB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 2 - Forks: 1

rafaol/active-learning-conditional-mean-embeddings

Code repository for the UAI 2020 paper "Active learning of conditional mean embeddings via Bayesian optimisation" by S. R. Chowdhury, R. Oliveira and F. Ramos.

Language: Python - Size: 142 KB - Last synced: 28 days ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

rafaol/no-regret-approximate-inference-via-bo

Code repository for the paper No-Regret Approximate Inference via Bayesian Optimisation, published at UAI 2021

Language: Jupyter Notebook - Size: 6.35 MB - Last synced: 27 days ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

akosiorek/sqair

Implementation of Sequential Attend, Infer, Repeat (SQAIR)

Language: Jupyter Notebook - Size: 355 KB - Last synced: 9 months ago - Pushed: about 5 years ago - Stars: 96 - Forks: 27

AaltoML/improved-hyperparameter-learning

Codes for 'Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models' (ICML 2023)

Language: Jupyter Notebook - Size: 6.39 MB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

jswu18/approximate-inference

Expectation Maximisation, Variational Bayes, ARD, Loopy Belief Propagation, Gaussian Process Regression

Language: Python - Size: 26.6 MB - Last synced: 11 months ago - Pushed: 11 months ago - Stars: 0 - Forks: 0

riccmon/Employee-Attrition

FAIKR MOD3 project

Language: Jupyter Notebook - Size: 962 KB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 1

Sheev13/bnn-mean-field-vi

Language: Jupyter Notebook - Size: 3.27 MB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 4 - Forks: 0

sanjeevg15/loopy-bp-denoise

Denoise a given image using Loopy Belief Propagation

Language: Jupyter Notebook - Size: 2.83 MB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 1 - Forks: 0

parthnatekar/Loopy-Belief-Propagation

An implementation of loopy belief propagation for binary image denoising. Both sequential and parallel updates are implemented.

Language: Python - Size: 1.33 MB - Last synced: about 1 year ago - Pushed: almost 4 years ago - Stars: 1 - Forks: 0

JoeMWatson/input-inference-for-control

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

Language: Python - Size: 8.81 MB - Last synced: about 1 year ago - Pushed: about 3 years ago - Stars: 17 - Forks: 3

ermongroup/SPN_Variational_Inference

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

Language: Python - Size: 1.45 MB - Last synced: 12 months ago - Pushed: over 2 years ago - Stars: 14 - Forks: 0

YingzhenLi/Dropout_BBalpha

Implementations of the ICML 2017 paper (with Yarin Gal)

Language: Python - Size: 25.4 KB - Last synced: about 1 year ago - Pushed: over 6 years ago - Stars: 40 - Forks: 11

compops/gpo-smc-abc

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

Language: Python - Size: 11.7 MB - Last synced: about 1 year ago - Pushed: over 6 years ago - Stars: 11 - Forks: 6

alireza-mahmoodi/Ghost_Hunter

An AI project that uses Bayes Nets for ghost hunting purpose in the Pacman's world.

Language: Python - Size: 16 MB - Last synced: 12 months ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0

Af4rinz/stot

STOT: Single-Target Object Tracking using particle and Kalman filters [with a bonus multi-target].

Language: Jupyter Notebook - Size: 5.25 MB - Last synced: 11 months ago - Pushed: over 2 years ago - Stars: 1 - Forks: 0

tkusmierczyk/lcvi

Variational Bayesian decision-making for continuous utilities

Language: Jupyter Notebook - Size: 21.9 MB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 4 - Forks: 1

lpcinelli/probabilistic-nn

Probabilistic approach to neural nets - modern scalable approximate inference methods

Language: Jupyter Notebook - Size: 397 KB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 1 - Forks: 0

tkusmierczyk/correcting_approximate_bayesian_predictions

Correcting predictions for approximate Bayesian inference

Language: Jupyter Notebook - Size: 2.25 MB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 1 - Forks: 0

zimmerman-cole/hons-proj-public

My undergraduate honours project, with others' private information/code removed.

Language: OpenEdge ABL - Size: 9.33 MB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 0 - Forks: 0