SeongokRyu / Bayesian-deep-learningLinks
Notes and codes of the topic "Bayesian deep learning"
☆56Updated 7 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☆48Updated 6 years ago
- ☆13Updated 5 years ago
- mo papers mo problems☆20Updated 6 years ago
- PyTorch Implementations of Dropout Variants☆88Updated 7 years ago
- Repository for implementation of generative models with Tensorflow 1.x☆71Updated 5 years ago
- MAML implementation (tensorflow)☆15Updated 6 years ago
- Implementation of ChoiceNet☆127Updated 7 years ago
- Modeling uncertainty information in deep learning☆22Updated 7 years ago
- ☆24Updated 7 months ago
- ZForcing Repo☆40Updated 8 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 5 years ago
- Density Network Implementations using TensorFlow☆27Updated 7 years ago
- Implementation of the Functional Neural Process models☆42Updated 5 years ago
- A collection of various deep learning architectures, models, and tips☆63Updated 5 years ago
- Tensorflow implementation of adversarial auto-encoder for MNIST☆88Updated 8 years ago
- The OTHER pytorch boilerplate☆45Updated 9 months ago
- PyTorch implementation of "STNs" and "Delta-STNs".☆50Updated 4 years ago
- ☆25Updated 6 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 5 years ago
- Implementation of various generative models☆14Updated 7 years ago
- Optimized Utilities for PyTorch☆26Updated 5 years ago
- Python Package for Managing Configurations☆38Updated 4 years ago
- LVAE: Ladder Variational Auto-Encoders (NIPS 2016) with TensorFlow.☆16Updated 8 years ago
- Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.☆30Updated 7 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 7 years ago
- Some example code that shows you how to use Sacred in a full Pytorch project.☆28Updated 4 years ago
- Notes and tutorials on "Mutual information and self-supervised learning"☆39Updated 6 years ago
- ☆91Updated 6 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆101Updated 7 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago