TuringLang/Turing.jl

Bayesian inference with probabilistic programming.

Language: Julia - Size: 32.6 MB - Last synced: about 21 hours ago - Pushed: about 23 hours ago - Stars: 1,978 - Forks: 213

marcosbenicio/bayesian-neural-network

Studies on Bayesian Neural Networks with application cases

Language: Jupyter Notebook - Size: 7.19 MB - Last synced: 2 days ago - Pushed: 2 days ago - Stars: 0 - Forks: 0

uncertainty-toolbox/uncertainty-toolbox

Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

Language: Python - Size: 4.1 MB - Last synced: about 11 hours ago - Pushed: over 1 year ago - Stars: 1,730 - Forks: 122

janosh/awesome-normalizing-flows

Awesome resources on normalizing flows.

Language: Python - Size: 145 KB - Last synced: 1 day ago - Pushed: about 1 month ago - Stars: 1,313 - Forks: 116

ENSTA-U2IS-AI/Symmetry-Aware-BNN

A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors paper presented @ICLR2024

Language: HTML - Size: 78.1 MB - Last synced: 3 days ago - Pushed: 4 days ago - Stars: 1 - Forks: 0

AaltoML/sfr-experiments

Code accompanying ICLR 2024 paper "Function-space Parameterization of Neural Networks for Sequential Learning"

Language: Jupyter Notebook - Size: 2.14 MB - Last synced: 4 days ago - Pushed: 4 days ago - Stars: 0 - Forks: 0

juanfierro94/ct-scan-modeling-thesis-bayesian-deterministic

This repository contains code and resources for my thesis project on uncertainty estimation in computed tomography (CT) scan modeling. Explore Bayesian and deterministic neural network architectures for CT analysis and compare their effectiveness in quantifying uncertainty.

Language: Jupyter Notebook - Size: 96.4 MB - Last synced: 6 days ago - Pushed: 7 days ago - Stars: 1 - Forks: 0

lightning-uq-box/lightning-uq-box

Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning

Language: Python - Size: 25.2 MB - Last synced: 5 days ago - Pushed: 10 days ago - Stars: 77 - Forks: 9

anassinator/bnn

Bayesian Neural Network in PyTorch

Language: Python - Size: 415 KB - Last synced: 16 days ago - Pushed: 16 days ago - Stars: 76 - Forks: 25

HolyBayes/pytorch_ard

Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks

Language: Python - Size: 60.5 KB - Last synced: 16 days ago - Pushed: over 2 years ago - Stars: 82 - Forks: 16

piEsposito/blitz-bayesian-deep-learning

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

Language: Python - Size: 324 KB - Last synced: 17 days ago - Pushed: 8 months ago - Stars: 886 - Forks: 107

wataruhashimoto52/bayesian-deep-learning

Inference Algorithms for Bayesian Deep Learning

Language: Python - Size: 68.4 KB - Last synced: 27 days ago - Pushed: over 1 year ago - Stars: 2 - Forks: 0

brendanhasz/probflow

A Python package for building Bayesian models with TensorFlow or PyTorch

Language: Python - Size: 3.23 MB - Last synced: 17 days ago - Pushed: almost 2 years ago - Stars: 165 - Forks: 17

Samulix20/BNN_RISC-V

Optimized Bayesian Neural Network C library for integer only inference in embedded RISC-V Cores

Language: C - Size: 101 KB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0

huawei-noah/BGCN

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

Language: Python - Size: 5.78 MB - Last synced: about 1 month ago - Pushed: over 4 years ago - Stars: 148 - Forks: 47

IntelLabs/bayesian-torch

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

Language: Python - Size: 346 KB - Last synced: about 2 months ago - Pushed: 3 months ago - Stars: 440 - Forks: 62

ziatdinovmax/gpax

Gaussian Processes for Experimental Sciences

Language: Python - Size: 54.3 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 176 - Forks: 23

j-min/Dropouts

PyTorch Implementations of Dropout Variants

Language: Jupyter Notebook - Size: 3.91 KB - Last synced: 22 days ago - Pushed: over 6 years ago - Stars: 86 - Forks: 16

AaltoML/sfr

PyTorch implementation of Sparse Function-space Representation of Neural Networks

Language: Jupyter Notebook - Size: 100 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 4 - Forks: 0

cambridge-mlg/DUN

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

Language: Jupyter Notebook - Size: 34.8 MB - Last synced: 8 days ago - Pushed: 8 months ago - Stars: 71 - Forks: 11

hugo-qea/BayesianML-Project

This repository contains our work for the validation project of the course Bayesian Machine Learning, 2023/2024, ENS Paris-Saclay, Master MVA. It consists in a thorough study of the paper "Challenges in Markov chain Monte Carlo for Bayesian neural networks" by Theodore Papamarkou et al.

Language: Jupyter Notebook - Size: 13.6 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0

martinferianc/quantised-bayesian-nets

On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks

Language: Python - Size: 1.31 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 18 - Forks: 2

xxxnell/spatial-smoothing

(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.

Language: Python - Size: 17.4 MB - Last synced: about 2 months ago - Pushed: almost 2 years ago - Stars: 72 - Forks: 7

kumar-shridhar/PyTorch-BayesianCNN

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

Language: Python - Size: 66.2 MB - Last synced: 3 months ago - Pushed: about 1 year ago - Stars: 1,326 - Forks: 316

thomaspinder/bayesian_uncertainty_adversaries

Thesis: Detecting Adversaries in DQNs and Computer Vision using Bayesian CNNs

Language: HTML - Size: 88.5 MB - Last synced: 18 days ago - Pushed: over 5 years ago - Stars: 4 - Forks: 1

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

ctpeterson/SwissFit

General-purpose library for fitting models to data with correlated Gaussian-distributed noise

Language: Python - Size: 1.77 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 1 - Forks: 0

kourouklides/artificial_neural_networks

A collection of Methods and Models for various architectures of Artificial Neural Networks

Language: Python - Size: 6.61 MB - Last synced: 16 days ago - Pushed: 16 days ago - Stars: 41 - Forks: 11

lucadellalib/bdl-rul-svgd

Bayesian deep learning for remaining useful life estimation via Stein variational gradient descent

Language: Python - Size: 11.6 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 1 - Forks: 0

sophiewharrie/meta-learning-hierarchical-model-similar-causal-mechanisms

Code for the research paper Meta-learning with hierarchical models based on similarity of causal mechanisms

Language: Python - Size: 6.39 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 1 - Forks: 0

kapusuzoglu/kapusuzoglu.github.io

my blog

Language: HTML - Size: 6.27 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

Kaleidophon/tenacious-toucan

Master thesis for the MSc. Artificial Intelligence at the Universiteit van Amsterdam, 2019

Language: Python - Size: 9.77 MB - Last synced: 4 months ago - Pushed: about 4 years 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"

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

Piyush-555/VCL-in-PyTorch

PyTorch implementation of Variational Continual Learning

Language: Python - Size: 819 KB - Last synced: 4 months ago - Pushed: almost 3 years ago - Stars: 6 - Forks: 1

lucadellalib/bayestorch

Lightweight Bayesian deep learning library for fast prototyping based on PyTorch

Language: Python - Size: 104 KB - Last synced: 15 days ago - Pushed: about 1 year ago - Stars: 8 - Forks: 0

samuelkim314/DeepBO

Deep Bayesian Optimization for Problems with High-Dimensional Structure

Language: Python - Size: 2.29 MB - Last synced: 5 months ago - Pushed: over 1 year ago - Stars: 12 - Forks: 0

thecml/UE-BNNSurv

Official TensorFlow implementation of Uncertainty Estimation in Deep Bayesian Survival Models (BHI 2023)

Language: Jupyter Notebook - Size: 1.23 MB - Last synced: 2 months ago - Pushed: 3 months ago - Stars: 2 - Forks: 0

FedericoVasile1/bayesian-cnn

Comparison of a network implemented via Variational Inference with the same network implemented via Monte Carlo Dropout

Language: Jupyter Notebook - Size: 49.3 MB - Last synced: about 1 month ago - Pushed: about 3 years ago - Stars: 2 - Forks: 1

Faptimus420/Sparse_VD_keras-core Fork of Cerphilly/Sparse_VD_tf2

Reimplementation of Sparse Variational Dropout in Keras-Core/Keras 3.0

Language: Python - Size: 62.5 KB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0

ibarrond/VariationalAutoencoders

Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.

Language: Jupyter Notebook - Size: 1.71 GB - Last synced: 2 months ago - Pushed: over 6 years ago - Stars: 26 - Forks: 16

pakheili/bayesian-structured-time-series-mcmc-parallel-tempering

Bayesian Structured Time Series Analysis with Parallel Tempering for Stock Market Prediction

Language: Python - Size: 4.46 MB - Last synced: 6 months ago - Pushed: over 1 year ago - Stars: 2 - Forks: 0

kumar-shridhar/Master-Thesis-BayesianCNN

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

Language: TeX - Size: 18.6 MB - Last synced: 6 months ago - Pushed: almost 5 years ago - Stars: 261 - Forks: 81

supernnova/SuperNNova

Open Source Photometric classification https://supernnova.readthedocs.io

Language: Python - Size: 5.24 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 26 - Forks: 7

sharanry/UncertaintyQuantification

Code for Connection between Uncertainty Quantification and Gaussian Prior Parameters

Language: Python - Size: 768 KB - Last synced: 7 months ago - Pushed: 11 months ago - Stars: 0 - Forks: 0

dattv/BNN

Bayesian Neural Network

Language: Python - Size: 1.08 GB - Last synced: 7 months ago - Pushed: about 4 years ago - Stars: 0 - Forks: 0

ykwon0407/UQ_BNN

Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)

Language: Jupyter Notebook - Size: 1.91 MB - Last synced: 7 months ago - Pushed: almost 5 years ago - Stars: 126 - Forks: 21

RylanSchaeffer/HarvardAM207-prior-networks

Harvard Fall 2019 Applied Math 207 A Primer and Critique of Prior Networks

Language: Jupyter Notebook - Size: 53.2 MB - Last synced: 7 months ago - Pushed: over 4 years ago - Stars: 11 - Forks: 1

ramon-oliveira/deepstats

Repository for "Known Unknowns: Uncertainty Quality in Bayesian Neural Networks" paper.

Language: Jupyter Notebook - Size: 55.6 MB - Last synced: 7 months ago - Pushed: about 7 years ago - Stars: 12 - Forks: 5

armanihm/GDC

Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch

Language: Python - Size: 1.69 MB - Last synced: 7 months ago - Pushed: almost 4 years ago - Stars: 44 - Forks: 15

marinadunn/thesis

Repo for my thesis research development at UC Riverside: "Classifying Galaxy Morphologies Using Bayesian Neural Networks for LSST"

Language: Jupyter Notebook - Size: 103 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 4 - Forks: 0

xwinxu/bayeSDE

Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"

Language: Python - Size: 46.7 MB - Last synced: 6 months ago - Pushed: over 2 years ago - Stars: 145 - Forks: 24

taldatech/tf-bgd

Bayesian Gradient Descent Algorithm Model for TensorFlow

Language: Jupyter Notebook - Size: 364 KB - Last synced: 14 days ago - Pushed: over 5 years ago - Stars: 6 - Forks: 0

AISIGSJTU/IBBNN

Information Bound and its Applications in Bayesian Neural Networks

Language: Python - Size: 811 KB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 2 - Forks: 0

corentinpla/PMCnet_extended

AIS algorithm for BNN inference

Language: Python - Size: 36.6 MB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

AISIGSJTU/SEBR

Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization

Language: Python - Size: 1.69 MB - Last synced: 9 months ago - Pushed: almost 3 years ago - Stars: 4 - Forks: 1

nitarshan/bayes-by-backprop 📦

PyTorch implementation of "Weight Uncertainty in Neural Networks"

Language: Jupyter Notebook - Size: 68.4 KB - Last synced: 6 months ago - Pushed: about 2 years ago - Stars: 157 - Forks: 47

DelTA-Lab-IITK/U-CAM

Visual Explanation using Uncertainty based Class Activation Maps

Language: Python - Size: 4.21 MB - Last synced: 9 months ago - Pushed: over 4 years ago - Stars: 19 - Forks: 3

os-hxfan/BayesNN_FPGA

FPGA-based hardware acceleration for dropout-based Bayesian Neural Networks.

Language: Python - Size: 89.8 KB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 9 - Forks: 0

OnnoKampman/variational-nnet-sbm

Neural Network based Stochastic Blockmodel using Variational Inference

Language: Python - Size: 21.5 KB - Last synced: 10 months ago - Pushed: about 5 years ago - Stars: 2 - Forks: 0

GINK03/edward-bayesian-neural-network

Edward Bayesian Neural Network

Language: Python - Size: 1.14 MB - Last synced: 10 months ago - Pushed: over 6 years ago - Stars: 2 - Forks: 2

pawni/BayesByHypernet

Code for the paper Implicit Weight Uncertainty in Neural Networks

Language: Jupyter Notebook - Size: 14.4 MB - Last synced: 10 months ago - Pushed: over 4 years ago - Stars: 65 - Forks: 16

dtak/hip-mdp-public

Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning

Language: Python - Size: 170 KB - Last synced: 10 months ago - Pushed: over 6 years ago - Stars: 27 - Forks: 11

andreadacol98/Probabilistic_AI

Team programming exercises for the course unit "Probabilistic Artificial Intelligence", ETH Zurich

Language: Python - Size: 24.3 MB - Last synced: 10 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

thudzj/ScalableBDL

Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"

Language: Python - Size: 5.56 MB - Last synced: 10 months ago - Pushed: almost 3 years ago - Stars: 27 - Forks: 3

Unique-Divine/Langevin-Dynamics-for-NN-Optimization

Bayesian Neural Network (BNN) implementations based on Langevin Dynamics and tested on real-world data

Language: Python - Size: 3.68 MB - Last synced: 10 months ago - Pushed: about 3 years ago - Stars: 0 - Forks: 0

EpiSci/SafeAI

Reusable, Easy-to-use Uncertainty module package built with Tensorflow, Keras

Language: Python - Size: 192 KB - Last synced: 20 days ago - Pushed: over 5 years ago - Stars: 14 - Forks: 9

chrhenning/uncertainty_based_ood

Exploring the link between uncertainty estimates obtained via "exact" Bayesian inference and out-of-distribution (OOD) detection.

Language: Jupyter Notebook - Size: 13.2 MB - Last synced: 10 months ago - Pushed: about 2 years ago - Stars: 3 - Forks: 1

AISIGSJTU/AS

Improving Bayesian Neural Networks by Adversarial Sampling

Language: Python - Size: 29.3 KB - Last synced: 9 months ago - Pushed: over 1 year ago - Stars: 4 - Forks: 1

Tinker-Twins/Probabilistic-Deep-Learning

Notes and Experiments with Probabilistic Deep Learning Models

Language: Jupyter Notebook - Size: 146 MB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 1 - Forks: 0

riccardodesanti/probabilistic-AI

Projects of the Probabilistic Artificial Intelligence class at ETH Zurich

Language: Python - Size: 24.7 MB - Last synced: 10 months ago - Pushed: over 2 years ago - Stars: 6 - Forks: 2

Cogito2012/UString

[ACM MM 2020] Uncertainty-based Traffic Accident Anticipation

Language: Python - Size: 18.9 MB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 52 - Forks: 19

activatedgeek/understanding-bayesian-classification

On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification

Language: Jupyter Notebook - Size: 22.6 MB - Last synced: 10 months ago - Pushed: about 2 years ago - Stars: 19 - Forks: 1

anassinator/pddp

WIP implementation of Probabilistic Differential Dynamic Programming in PyTorch

Language: Jupyter Notebook - Size: 6.56 MB - Last synced: 9 months ago - Pushed: about 3 years ago - Stars: 13 - Forks: 2

abhimanyu911/bayesian_sdss

A Bayesian CNN approach to SDSS image data classfication

Language: Jupyter Notebook - Size: 16.1 MB - Last synced: 12 months ago - Pushed: 12 months ago - Stars: 1 - Forks: 1

itsayushthada/Probabislitc-Deep-Learning

Exploration of TensorFlow-2 and TensorFlow probability to implement Bayesian Neural Networks, Normalizing flows, real NVPs and Autoencoders. Exploration of Bayesian Modelling and Variational Inference with Pyro.

Language: Jupyter Notebook - Size: 20.3 MB - Last synced: 12 months ago - Pushed: almost 3 years ago - Stars: 4 - Forks: 3

DensoITLab/featurePI

Feature Space Particle Inference for Neural Network Ensembles (ICML2022)

Language: Python - Size: 152 KB - Last synced: 18 days ago - Pushed: almost 2 years ago - Stars: 4 - Forks: 0

theheisenberg10/Marketing-Mix-for-Leading-Hospitality-Company

Sending personalized marketing offers (called free play in a casino setting) to players by observing data on their gaming behavior and demographic information

Size: 1.31 MB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 1 - Forks: 0

bgrimstad/sgvb-torch

An implementation of Stochastic Gradient Variational Bayes (SGVB) in PyTorch

Language: Python - Size: 29.3 KB - Last synced: 5 months ago - Pushed: about 3 years ago - Stars: 1 - Forks: 0

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

lbasora/bnnrul

Tools to test BNN inference algorithms and techniques to predict RUL on aeronautical systems.

Language: Jupyter Notebook - Size: 2.59 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 5 - Forks: 1

Nandarhline/BayesianNN

Implementation of BNNs for virtual monitoring (offshore wind farms) and uncertainty quantification

Language: Jupyter Notebook - Size: 2.69 MB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 2 - Forks: 1

martinferianc/ComBiNet

ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation

Language: Python - Size: 19.5 MB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 11 - Forks: 1

lorinanthony/RATE

Code for Variable Selection in Black Box Methods with RelATive cEntrality (RATE) Measures

Language: Jupyter Notebook - Size: 20.7 MB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 17 - Forks: 4

martinferianc/BayesianNeuralNets

Bayesian neural networks in PyTorch

Language: Python - Size: 24.5 MB - Last synced: about 1 year ago - Pushed: almost 4 years ago - Stars: 19 - Forks: 3

yardenas/probabilistic-regression

A short tutorial on Bayesian Neural Networks with JAX

Language: Jupyter Notebook - Size: 6.7 MB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 5 - Forks: 2

xxxnell/temporal-smoothing

(AAAI 2021) Official TensorFlow implementation of "Vector Quantized Bayesian Neural Network Inference for Data Streams", a temporal smoothing for efficient uncertainty estimation

Language: Jupyter Notebook - Size: 88.8 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 19 - Forks: 3

MauroCE/PythonBRMLtoolbox

Python 3.7 version of David Barber's MATLAB BRMLtoolbox

Language: Python - Size: 690 KB - Last synced: about 1 year ago - Pushed: almost 6 years ago - Stars: 22 - Forks: 3

dtak/ocbnn-public

General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.

Language: Python - Size: 61.3 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 35 - Forks: 6

navneet-nmk/Probabilisitc-Pytorch

Deep Probabilistic Programming Examples in Pytorch using pyro

Language: Jupyter Notebook - Size: 54.7 KB - Last synced: about 1 year ago - Pushed: almost 6 years ago - Stars: 12 - Forks: 2

LukasRinder/bayesian-neural-networks

Different implementations of Bayesian neural networks for uncertainty estimation. The uncertainty estimation is utilized for efficient exploration in reinforcement learning.

Language: Python - Size: 1.73 MB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 1 - Forks: 1

angelognazzo/Probabilistic-Artificial-Intelligence

Repository that contains the projects of the Probabilistic Artificial Intelligence class offered in Fall 2021 at ETH Zurich

Language: Python - Size: 3.09 MB - Last synced: 12 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

deargen/MT-ENet

Repository for "Improving evidential deep learning via multi-task learning," published in AAAI2022

Language: Python - Size: 14.3 MB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 11 - Forks: 0

sungyubkim/MCDO

A pytorch implementation of MCDO(Monte-Carlo Dropout methods)

Language: Jupyter Notebook - Size: 233 KB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 37 - Forks: 7

gauthamkrishna-g/ActiveHARNet

ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition

Language: Jupyter Notebook - Size: 116 KB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 8 - Forks: 6

HumBug-Mosquito/HumBugDB

Acoustic mosquito detection code with Bayesian Neural Networks

Language: Jupyter Notebook - Size: 22.8 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 31 - Forks: 6

ghanzouri/CS330-Posterior-Goal-Sampling-for-Hierarchical-Reinforcement-Learning

Posterior Goal Sampling for Hierarchical Reinforcement Learning

Language: Python - Size: 2.16 MB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 1 - Forks: 0

pomonam/NoisyNaturalGradient

TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".

Language: Python - Size: 2.67 MB - Last synced: 10 months ago - Pushed: over 5 years ago - Stars: 59 - Forks: 8

haardikk21/scammy-ico-ai

A naive bayesian classifier which tells you if an ICO is a scam based on it's whitepaper abstract

Language: Go - Size: 1.12 MB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 3 - Forks: 0

satyaborg/bnn-post-hoc

Code and experiments for the preprint: "Bayesian Neural Network Versus Ex-Post Calibration For Capturing Prediction Uncertainty".

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

jiwoncpark/baobab

Generates the training data for hierarchical inference of strongly-lensed systems with Bayesian neural networks

Language: Python - Size: 1.44 MB - Last synced: 5 days ago - Pushed: over 3 years ago - Stars: 11 - Forks: 2