mvaldenegro / keras-uncertainty
Utilities to perform Uncertainty Quantification on Keras Models
☆115Updated last year
Alternatives and similar repositories for keras-uncertainty
Users that are interested in keras-uncertainty are comparing it to the libraries listed below
Sorting:
- Implementation of the MNIST experiment for Monte Carlo Dropout from http://mlg.eng.cam.ac.uk/yarin/PDFs/NIPS_2015_bayesian_convnets.pdf☆30Updated 5 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆155Updated 2 years ago
- Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods☆22Updated 3 years ago
- HCOMP '22 -- Eliciting and Learning with Soft Labels from Every Annotator☆10Updated 2 years ago
- Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments☆68Updated 5 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated last year
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 4 years ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆150Updated 2 years ago
- Use Gaussian processes to estimate CNN classification uncertainty☆12Updated 7 years ago
- Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification☆95Updated last year
- ☆28Updated 2 years ago
- Reliability diagrams visualize whether a classifier model needs calibration☆150Updated 3 years ago
- TensorFlow Probability Tutorial☆37Updated 5 years ago
- ☆153Updated 2 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated last year
- DeepStack: Ensembling Keras Deep Learning Models into the next Performance Level☆38Updated 2 years ago
- This repo contains the notebooks that is used in Medium posts.☆24Updated 3 years ago
- Learning error bars for neural network predictions☆70Updated 5 years ago
- General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…☆42Updated 4 years ago
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆65Updated 4 years ago
- ☆237Updated 4 years ago
- Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.☆74Updated 6 months ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆112Updated 2 years ago
- This repository reimplemented "MC Dropout" by tensorflow 2.0 Eager Extension.☆18Updated 2 years ago
- An introduction to conformal prediction☆25Updated last year
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆272Updated 3 years ago
- Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020☆235Updated 2 years ago
- Bayesian LSTM (Tensorflow)☆54Updated 2 years ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆216Updated 6 months ago
- Conformalized Quantile Regression☆272Updated 3 years ago