Projects in Awesome Lists tagged with uncertainty-neural-networks

https://github.com/javierantoran/bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

approximate-inference bayes-by-backprop bayesian-inference bayesian-neural-networks classification deep-learning hmc kronecker-factored-approximation langevin-dynamics local-reparametrization-trick mc-dropout mcmc out-of-distribution-detection pytorch regression reproducible-research sgld uncertainty uncertainty-neural-networks variational-inference

Last synced: 30 Sep 2024

https://github.com/JavierAntoran/Bayesian-Neural-Networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

approximate-inference bayes-by-backprop bayesian-inference bayesian-neural-networks classification deep-learning hmc kronecker-factored-approximation langevin-dynamics local-reparametrization-trick mc-dropout mcmc out-of-distribution-detection pytorch regression reproducible-research sgld uncertainty uncertainty-neural-networks variational-inference

Last synced: 02 Aug 2024

https://github.com/shekkizh/neuralnetworks.thought-experiments

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

generative-adversarial-network generative-model neural-network optimal-brain-damage pruning uncertainty-neural-networks

Last synced: 07 Aug 2024

https://github.com/google/TrustScore

To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective than the classifier's own implied confidence (e.g. softmax probability for a neural network).

uncertainty-estimation uncertainty-neural-networks

Last synced: 01 Aug 2024

https://github.com/kaleidophon/nlp-uncertainty-zoo

Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.

deep-learning lstm nlp nlp-machine-learning package python pytorch rnn transformers uncertainty-estimation uncertainty-neural-networks uncertainty-quantification

Last synced: 26 Sep 2024

https://github.com/dlmacedo/robust-deep-learning

A project to train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances. Calibrate your model to produce enhanced uncertainty estimations. Detect out-of-distribution data using the defined score type and threshold.

anomaly-detection classification deep-learning deep-neural-networks machine-learning novelty-detection ood-detection open-set open-set-recognition out-of-distribution out-of-distribution-detection pytorch robust-deep-learning robust-machine-learning trustworthy-ai trustworthy-machine-learning uncertainty-calibration uncertainty-estimation uncertainty-neural-networks

Last synced: 01 Aug 2024

https://github.com/cvlab-epfl/iter_unc

Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)

bayesian-inference computer-vision deep-learning icml icml-2024 neural-network robustness uncertainty-estimation uncertainty-neural-networks uncertainty-quantification

Last synced: 01 Aug 2024