SeongokRyu / Bayesian-deep-learningLinks
Notes and codes of the topic "Bayesian deep learning"
☆56Updated 6 years ago
Alternatives and similar repositories for Bayesian-deep-learning
Users that are interested in Bayesian-deep-learning are comparing it to the libraries listed below
Sorting:
- Pytorch Tutorial for Non-Euclidean Graph Representations☆46Updated 6 years ago
- mo papers mo problems☆20Updated 5 years ago
- Repository for implementation of generative models with Tensorflow 1.x☆72Updated 5 years ago
- ☆13Updated 5 years ago
- Modeling uncertainty information in deep learning☆22Updated 7 years ago
- MAML implementation (tensorflow)☆15Updated 6 years ago
- Implementation of ChoiceNet☆127Updated 7 years ago
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- The OTHER pytorch boilerplate☆45Updated 5 months ago
- ZForcing Repo☆40Updated 7 years ago
- Python Package for Managing Configurations☆38Updated 4 years ago
- PyTorch implementation of "STNs" and "Delta-STNs".☆50Updated 4 years ago
- Implementation of various generative models☆14Updated 6 years ago
- rich posterior approximations and anomaly detection☆20Updated 6 years ago
- Pytorch implementation of neural processes and variants☆29Updated last year
- Optimized Utilities for PyTorch☆26Updated 5 years ago
- Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.☆30Updated 7 years ago
- Density Network Implementations using TensorFlow☆27Updated 7 years ago
- ☆24Updated 6 years ago
- A collection of various deep learning architectures, models, and tips☆63Updated 5 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆121Updated 7 years ago
- Notes and tutorials on "Mutual information and self-supervised learning"☆39Updated 5 years ago
- Code for Variational Laplace Autoencoders☆54Updated 2 years ago
- Some example code that shows you how to use Sacred in a full Pytorch project.☆28Updated 4 years ago
- Tensorflow implementation of adversarial auto-encoder for MNIST☆88Updated 7 years ago
- tensorflow implementation of Exploring Randomly Wired Neural Networks for Image Recognition☆31Updated 5 years ago
- ☆24Updated 4 months ago
- Implementation of the Functional Neural Process models☆42Updated 5 years ago
- ☆24Updated 5 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago