probabilistic-deep-learning
There are 7 repositories under probabilistic-deep-learning topic.
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.
IntelLabs/AVUC
Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.
prs-eth/FILM-Ensemble
[NeurIPS 2022] FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation
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.
hsk-ses/BattProDeep
BattProDeep: A Deep Learning-Based Tool for Probabilistic Battery Aging Prediction
Tinker-Twins/Probabilistic-Deep-Learning
Notes and Experiments with Probabilistic Deep Learning Models
palashsharma891/TensorFlow2-for-Deep-Learning
Solutions to the programming assignments in the TensorFlow 2 for Deep Learning Specialization by Imperial College London on Coursera.