dirmeier/ssnl

Surjective sequential neural likelihood estimation

Language: Python - Size: 88.9 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 2 - Forks: 0

Kausz11/Multiplication-Tables

Multiplication-Tables is a web app that helps users learn and practice multiplication through interactive exercises. It features dynamic table generation, customizable ranges, and options to download results, making math engaging and accessible.

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alexgarciaduran/perceptual_bistability

Code for my PhD project on perceptual inference.

Language: Python - Size: 1.24 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 1 - 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 at: 21 days ago - Pushed at: over 1 year ago - Stars: 1,893 - Forks: 308

Phylliade/awesome-machine-learning-robotics

A curated list of resources about Machine Learning for Robotics

Size: 11.7 KB - Last synced at: about 1 month ago - Pushed at: almost 6 years ago - Stars: 226 - Forks: 37

acerbilab/normalizing-flow-regression

Normalizing Flow Regression for Bayesian Inference with Offline Likelihood Evaluations

Language: Jupyter Notebook - Size: 8.44 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

JuliaGaussianProcesses/Stheno.jl

Probabilistic Programming with Gaussian processes in Julia

Language: Julia - Size: 294 MB - Last synced at: 9 days ago - Pushed at: 2 months ago - Stars: 345 - Forks: 26

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

DGMs for NLP. A roadmap.

Size: 32 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 390 - Forks: 32

joennlae/halutmatmul

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

Language: Python - Size: 3.09 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 210 - Forks: 13

UCL/rmcmc

Robust Markov chain Monte Carlo methods in R

Language: R - Size: 4.15 MB - Last synced at: 27 days ago - Pushed at: 3 months ago - Stars: 5 - Forks: 1

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 at: about 1 month ago - Pushed at: over 3 years ago - Stars: 17 - Forks: 2

dflemin3/approxposterior

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

Language: Python - Size: 50.1 MB - Last synced at: 7 days ago - Pushed at: over 1 year ago - Stars: 42 - Forks: 10

tkusmierczyk/lcvi

Variational Bayesian decision-making for continuous utilities

Language: Jupyter Notebook - Size: 21.9 MB - Last synced at: 2 months ago - Pushed at: over 5 years ago - Stars: 7 - Forks: 2

lacerbi/infbench

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

Language: MATLAB - Size: 65.4 MB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 6 - Forks: 3

akosiorek/sqair

Implementation of Sequential Attend, Infer, Repeat (SQAIR)

Language: Jupyter Notebook - Size: 355 KB - Last synced at: 2 months ago - Pushed at: about 6 years ago - Stars: 97 - Forks: 27

elmahsieh/BayeisanNetworkInference

This project implements both exact and approximate inference techniques for Bayesian Networks using enumeration and rejection sampling, respectively. It processes Bayesian Network structures in XMLBIF format, accepting command-line inputs to compute the posterior distribution of a query variable given observed evidence.

Language: Java - Size: 11.7 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ztanml/arLMM

Approximate Ridge Linear Mixed Models (arLMM)

Language: C - Size: 1.38 MB - Last synced at: 16 days ago - Pushed at: almost 6 years ago - Stars: 5 - Forks: 1

ErfanXH/Sampling

Implementation of Prior, Rejection, Likelihood and Gibbs Sampling

Language: Python - Size: 275 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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"

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Sheev13/bayesian-inference

Language: Jupyter Notebook - Size: 3.39 MB - Last synced at: over 1 year ago - Pushed at: over 1 year 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 at: about 1 year ago - Pushed at: almost 3 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

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AaltoML/improved-hyperparameter-learning

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

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jswu18/approximate-inference

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

Language: Python - Size: 26.6 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

riccmon/Employee-Attrition

FAIKR MOD3 project

Language: Jupyter Notebook - Size: 962 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 1

Sheev13/bnn-mean-field-vi

Language: Jupyter Notebook - Size: 3.27 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years 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 at: about 2 years ago - Pushed at: almost 4 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 at: over 2 years ago - Pushed at: about 5 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 at: over 2 years ago - Pushed at: about 4 years ago - Stars: 17 - Forks: 3

YingzhenLi/Dropout_BBalpha

Implementations of the ICML 2017 paper (with Yarin Gal)

Language: Python - Size: 25.4 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 40 - Forks: 11

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 at: 6 months ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

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 at: about 2 years ago - Pushed at: over 7 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 at: about 2 years ago - Pushed at: about 3 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 at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

ocramz/bayesian-inference

Language: Haskell - Size: 113 KB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 7 - Forks: 1

lpcinelli/probabilistic-nn

Probabilistic approach to neural nets - modern scalable approximate inference methods

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tkusmierczyk/correcting_approximate_bayesian_predictions

Correcting predictions for approximate Bayesian inference

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zimmerman-cole/hons-proj-public

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

Language: OpenEdge ABL - Size: 9.33 MB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0