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GitHub topics: probabilistic-deep-learning

GDelCorso/ShedLight_UQ

Detailed implementations, Jupyter tutorials and complete packages to implement and test Probabilistic Bayesian Deep Learning models. The repository contains the software implementations of the techniques discussed in the review paper "Shedding light on uncertainties in machine learning: formal derivation and optimal model selection".

langage: Jupyter Notebook - taille: 13,1 Mo - dernière synchronisation: il y a 2 mois - enregistré: il y a 2 mois - étoiles: 10 - forks: 0

prs-eth/FILM-Ensemble

[NeurIPS 2022] FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation

langage: Python - taille: 131 ko - dernière synchronisation: il y a environ 2 mois - enregistré: il y a plus de 2 ans - étoiles: 24 - forks: 2

mohd-faizy/Probabilistic-Deep-Learning-with-TensorFlow

Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of deep learning that aims to quantify the noise and uncertainty that is often present in real-world datasets.

langage: Jupyter Notebook - taille: 47,8 Mo - dernière synchronisation: il y a 2 mois - enregistré: il y a 6 mois - étoiles: 63 - forks: 34

hsk-ses/BattProDeep

BattProDeep: A Deep Learning-Based Tool for Probabilistic Battery Aging Prediction

langage: Jupyter Notebook - taille: 7,34 Mo - dernière synchronisation: il y a 10 mois - enregistré: il y a 10 mois - étoiles: 0 - forks: 0

palashsharma891/TensorFlow2-for-Deep-Learning

Solutions to the programming assignments in the TensorFlow 2 for Deep Learning Specialization by Imperial College London on Coursera.

langage: Jupyter Notebook - taille: 4,87 Mo - dernière synchronisation: il y a plus d'un an - enregistré: il y a plus de 4 ans - étoiles: 0 - forks: 0

Tinker-Twins/Probabilistic-Deep-Learning

Notes and Experiments with Probabilistic Deep Learning Models

langage: Jupyter Notebook - taille: 146 Mo - dernière synchronisation: il y a plus d'un an - enregistré: il y a plus d'un an - étoiles: 1 - forks: 0

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.

langage: Jupyter Notebook - taille: 20,3 Mo - dernière synchronisation: il y a environ 2 ans - enregistré: il y a presque 4 ans - étoiles: 4 - forks: 3

IntelLabs/AVUC 📦

Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.

langage: Python - taille: 9,98 Mo - dernière synchronisation: il y a environ 2 ans - enregistré: il y a plus de 2 ans - étoiles: 41 - forks: 10

Related Keywords
probabilistic-deep-learning 8 deep-learning 5 bayesian-deep-learning 3 variational-inference 2 bayesian-neural-networks 2 bayesian-inference 2 tensorflow2 2 tensorflow-probability 2 battery-management-systems 1 lifespan-estimation 1 computer-vision 1 coursera 1 imperial-college-london 1 natural-language-processing 1 neural-networks 1 probability 1 recurrent-neural-networks 1 tutorial-course 1 deep-learning-tutorial 1 deep-neural-networks 1 probabilistic-neural-networks 1 bayesian-machine-learning 1 probabilistic-modelling 1 pyro 1 tensorflow-2 1 bayesian-deep-networks 1 model-calibration 1 probabilistic-neural-network 1 uncertainty-calibration 1 uncertainty-estimation 1 uncertainty-neural-networks 1 uncertainty-quantification 1 cifar100 1 ece 1 ensemble 1 feature-wise-linear-modulation 1 implicit-ensemble 1 neurips 1 pytorch 1 sub-models 1 uncertanity 1 bernoulli-distribution 1 binomial-distributions 1 deep-probabilistic-models 1 keras 1 machine-learning 1 multivariate-distributions 1 poisson-distribution 1 probabilistic-layers 1 probabilistic-programming 1 tensorflow 1 cifar10 1 calibration 1 tfp 1 univariate-distributions 1 battery-aging-prediction 1