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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".

Language: Jupyter Notebook - Size: 13.1 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 10 - Forks: 0

prs-eth/FILM-Ensemble

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

Language: Python - Size: 131 KB - Last synced at: 11 days ago - Pushed at: over 2 years ago - Stars: 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.

Language: Jupyter Notebook - Size: 47.8 MB - Last synced at: 14 days ago - Pushed at: 5 months ago - Stars: 63 - Forks: 34

hsk-ses/BattProDeep

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

Language: Jupyter Notebook - Size: 7.34 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 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.

Language: Jupyter Notebook - Size: 4.87 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

Tinker-Twins/Probabilistic-Deep-Learning

Notes and Experiments with Probabilistic Deep Learning Models

Language: Jupyter Notebook - Size: 146 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 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.

Language: Jupyter Notebook - Size: 20.3 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 3

IntelLabs/AVUC 📦

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

Language: Python - Size: 9.98 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 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