RobRomijnders / bayes_nnLinks
Uncertainty interpretations of the neural network
☆32Updated 7 years ago
Alternatives and similar repositories for bayes_nn
Users that are interested in bayes_nn are comparing it to the libraries listed below
Sorting:
- ☆53Updated 7 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 6 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 7 years ago
- Implementation of Information Dropout☆39Updated 7 years ago
- Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019☆39Updated 5 years ago
- Scaled MMD GAN☆36Updated 5 years ago
- Code for the Paper "Centroid Networks for Few-Shot Clustering and Unsupervised Few-Shot Classification"☆23Updated 5 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated last year
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 6 years ago
- ☆81Updated 7 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 7 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance☆57Updated 6 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Like Moving MNIST, but way more flexible☆24Updated 4 years ago
- ☆46Updated 7 years ago
- f-GANs in an Information Geometric Nutshell☆13Updated 8 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- ☆25Updated 2 years ago
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆83Updated 6 years ago
- Deep convolutional gaussian processes.☆78Updated 5 years ago
- In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…☆41Updated 4 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆140Updated 7 years ago
- Implementation of Conditionally Shifted Neurons by Munkhdalai et al. (https://arxiv.org/pdf/1712.09926.pdf)☆28Updated 6 years ago
- Tensorflow implementation of Discriminator Rejection Sampling☆24Updated 5 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 9 years ago
- Code accompanying the paper Fisher GAN: https://arxiv.org/abs/1705.09675☆23Updated 7 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆121Updated 6 years ago
- Code for the paper "Banach Wasserstein GAN"☆31Updated 6 years ago