Era-Dorta / tf_mvgLinks
Multivariate Gaussian distributions for Tensorflow.
☆23Updated 5 years ago
Alternatives and similar repositories for tf_mvg
Users that are interested in tf_mvg are comparing it to the libraries listed below
Sorting:
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated last year
- Deep convolutional gaussian processes.☆78Updated 5 years ago
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20Updated 2 years ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆76Updated last year
- CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuou…☆50Updated 3 years ago
- Code for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning☆27Updated 3 years ago
- Pytorch implementation of the DWP with application to MRI segmentation☆9Updated 4 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- ☆32Updated 2 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 5 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆84Updated 4 years ago
- Pytorch implementation of the basic idea presented in https://arxiv.org/abs/2002.07101☆12Updated 5 years ago
- Gaussian Process Prior Variational Autoencoder☆83Updated 6 years ago
- ☆28Updated 3 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 4 years ago
- Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".☆21Updated 4 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- ☆53Updated 7 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆52Updated 10 months ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆55Updated 6 years ago
- Glow and RealNVP with tensorflow 2.0 and tensorflow probability☆31Updated 2 years ago
- Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).☆101Updated last year
- Code for the paper Gaussian process behaviour in wide deep networks☆46Updated 6 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆140Updated 7 years ago
- Implementations of Normalizing Flows in Pytorch/Pyro☆19Updated 5 years ago
- A tutorial for the 2018 paper Accurate Uncertainties for Deep Learning Using Calibrated Regression by Kuleshov et al.☆51Updated 5 years ago
- ☆53Updated 10 months ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago