A curated list of resources dedicated to bayesian deep learning
☆416May 10, 2017Updated 8 years ago
Alternatives and similar repositories for awesome-bayesian-deep-learning
Users that are interested in awesome-bayesian-deep-learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Lecture notes on Bayesian deep learning☆489Feb 11, 2018Updated 8 years ago
- A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow☆2,221Dec 17, 2022Updated 3 years ago
- A list of notes on Bayesian deep learning papers☆53Aug 6, 2022Updated 3 years ago
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,844Mar 18, 2024Updated 2 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Dec 11, 2018Updated 7 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Papers for Bayesian-NN☆328Jun 25, 2019Updated 6 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆362Oct 12, 2019Updated 6 years ago
- Building a Bayesian deep learning classifier☆492Oct 30, 2017Updated 8 years ago
- Experiments in Bayesian Machine Learning☆69Jul 6, 2019Updated 6 years ago
- ♾A curated list of papers and code about very deep neural networks☆455Oct 13, 2020Updated 5 years ago
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆581Feb 26, 2022Updated 4 years ago
- A curated list of resources dedicated to bridge between Cognitive Science and Deep Learning☆82Sep 13, 2017Updated 8 years ago
- Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.☆7,499Mar 24, 2024Updated 2 years ago
- Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)☆136Jul 30, 2019Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A list of papers on Generative Adversarial (Neural) Networks☆3,781Aug 24, 2025Updated 7 months ago
- Bayesian Deep Learning Benchmarks☆673Mar 24, 2023Updated 3 years ago
- Bayesian Deep Learning: A Survey☆519Oct 10, 2025Updated 5 months ago
- Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)☆1,016Jul 30, 2018Updated 7 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Jun 17, 2024Updated last year
- Deep universal probabilistic programming with Python and PyTorch☆8,989Jul 9, 2025Updated 8 months ago
- Various tutorials given for welcoming new students at MILA.☆985Jun 27, 2018Updated 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, …☆112Dec 19, 2018Updated 7 years ago
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,569Apr 19, 2024Updated last year
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'☆62Jun 3, 2018Updated 7 years ago
- Experiments from "The Description Length of Deep Learning Models"☆10Aug 1, 2018Updated 7 years ago
- Code for Deep Bayesian Active Learning (ICML 2017)☆111Feb 21, 2018Updated 8 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆142Feb 16, 2018Updated 8 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Nov 14, 2019Updated 6 years ago
- Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning☆2,657Nov 26, 2018Updated 7 years ago
- Some example scripts on pytorch☆197Oct 28, 2021Updated 4 years ago
- Generative Adversarial Networks (GANs) resources sorted by citations☆853May 11, 2019Updated 6 years ago
- My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"☆141Jan 15, 2018Updated 8 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Summaries and notes on Deep Learning research papers☆4,418Feb 13, 2018Updated 8 years ago
- Classification uncertainty using Bayesian neural networks☆33Jun 28, 2016Updated 9 years ago
- Recurrent Neural Network - A curated list of resources dedicated to RNN☆6,207Feb 3, 2022Updated 4 years ago
- This is the code used in the paper "Diagonal RNNs in Symbolic Music Modeling"☆17Apr 18, 2017Updated 8 years ago
- Training Very Deep Neural Networks Without Skip-Connections☆589Jun 9, 2018Updated 7 years ago
- The most cited deep learning papers☆26,097Jan 18, 2024Updated 2 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Jul 17, 2020Updated 5 years ago