raj-shah / BayesianCNN
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference, Gal et al. 2015
☆36Updated 6 years ago
Alternatives and similar repositories for BayesianCNN:
Users that are interested in BayesianCNN are comparing it to the libraries listed below
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆140Updated 7 years ago
- My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"☆137Updated 7 years ago
- Replication of the paper "Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference" - Yarin Gal, Zoubin Gh…☆10Updated 7 years ago
- Uncertainty interpretations of the neural network☆32Updated 6 years ago
- ☆53Updated 6 years ago
- model uncertainty using mc dropout☆20Updated 6 years ago
- Uncertainty estimation on Mnist dataset☆23Updated 7 years ago
- Classification uncertainty using Bayesian neural networks☆33Updated 8 years ago
- Code for "Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference" (NeurIPS Bayesian Deep Learning W…☆24Updated 5 years ago
- The Deep Weight Prior, ICLR 2019☆44Updated 3 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 7 years ago
- [IJCAI'19] Nostalgic Adam: Weighting more of the past gradients when designing the adaptive learning rate☆12Updated 5 years ago
- Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"☆35Updated 7 years ago
- An adversarial autoencoder implementation in pytorch☆83Updated 5 years ago
- Code for Deep Bayesian Active Learning (ICML 2017)☆112Updated 7 years ago
- This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆44Updated 5 years ago
- Code for the paper "Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation", ICLR 2018☆63Updated 5 years ago
- Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906☆49Updated 5 years ago
- 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
- The code for the cycle wasserstein regression generative adversarial network model for semi supervised bi-directional regression.☆24Updated 6 years ago
- Bayesian Neural Network in PyTorch☆84Updated 10 months ago
- ☆51Updated 10 years ago
- Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory☆47Updated 6 years ago
- Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'☆60Updated 6 years ago
- A Python implementation of Kernel Mean Matching data reweighting algorithm☆32Updated 9 years ago
- Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)☆136Updated 5 years ago
- ☆40Updated 5 years ago
- Master Thesis on Bayesian Convolutional Neural Network using Variational Inference☆265Updated 5 years ago
- PyTorch implementation of Deep Spectral Clustering paper on a toy dataset☆24Updated 6 years ago
- 6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"☆41Updated 6 years ago