In which I try to demystify the fundamental concepts behind Bayesian deep learning.
☆122Nov 29, 2017Updated 8 years ago
Alternatives and similar repositories for bayesian-deep-learning-demystified
Users that are interested in bayesian-deep-learning-demystified are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A collection of Bayesian data analysis recipes using PyMC3☆562Oct 9, 2023Updated 2 years ago
- Doing Bayesian statistics in Python!☆68Jan 31, 2018Updated 8 years ago
- Crash course to master gradient-based machine learning. Also secretly a JAX course in disguise!☆233Feb 12, 2024Updated 2 years ago
- An introduction to network analysis and applied graph theory using Python and NetworkX☆1,106Feb 3, 2026Updated 2 months ago
- A collection of IPython Notebooks containing my research.☆20Aug 21, 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.
- Experiments with variational autoencoders in Julia☆17Sep 19, 2019Updated 6 years ago
- Personal summaries of deep learning and AI papers☆31Jan 10, 2021Updated 5 years ago
- Bayesian inference for Gaussian mixture model with some novel algorithms☆53May 28, 2018Updated 7 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Nov 14, 2019Updated 6 years ago
- This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…☆22Sep 5, 2024Updated last year
- ☆12Nov 14, 2025Updated 5 months ago
- Bayesian Black Box Hyper Parameter Optimizer☆12May 3, 2017Updated 8 years ago
- (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.☆710Oct 4, 2021Updated 4 years ago
- Sequential Monte Carlo sampler for PyMC2 models.☆13Apr 4, 2018Updated 8 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- This repository complements the article on hyperparameter tuning using the hyperopt package in Python at steventhornton.ca/Hyperparameter…☆16Mar 7, 2017Updated 9 years ago
- BUS 41204: Machine Learning -- Winter 2016☆11Mar 3, 2017Updated 9 years ago
- Building a Bayesian deep learning classifier☆493Oct 30, 2017Updated 8 years ago
- PyMC educational resources☆2,086Dec 23, 2024Updated last year
- ☆10Sep 24, 2017Updated 8 years ago
- Time Series Feature Extraction and Visualization☆10Jun 21, 2017Updated 8 years ago
- Turning SymPy expressions into JAX functions☆45Mar 17, 2021Updated 5 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2017☆26Dec 16, 2022Updated 3 years ago
- Slides and materials for workshop on "Two views on regression with PyMC3 and scikit-learn"☆18Apr 6, 2023Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Code for Deep Bayesian Active Learning (ICML 2017)☆111Feb 21, 2018Updated 8 years ago
- Integrating influenza antigenic dynamics with molecular evolution☆12May 28, 2015Updated 10 years ago
- Functional differential geometry in Julia☆12Oct 20, 2022Updated 3 years ago
- FluSight Forecast Submissions☆20Apr 22, 2024Updated last year
- A library of MATLAB functions for visualization, processing, and analysis of output from Bayesian models fit with Stan.☆10Dec 17, 2021Updated 4 years ago
- Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Ba…☆31Sep 7, 2021Updated 4 years ago
- LaTeX author support files for IMS journal AOAS.☆12Mar 10, 2026Updated last month
- Bayesian Deep Learning Benchmarks☆673Mar 24, 2023Updated 3 years ago
- Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"