krasserm / bayesian-machine-learningLinks
Notebooks about Bayesian methods for machine learning
☆1,867Updated last year
Alternatives and similar repositories for bayesian-machine-learning
Users that are interested in bayesian-machine-learning are comparing it to the libraries listed below
Sorting:
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,709Updated 2 months ago
- Practical assignments of the Deep|Bayes summer school 2019☆832Updated 5 years ago
- Bayesian optimization in PyTorch☆3,271Updated this week
- Gaussian processes framework in python☆2,096Updated 4 months ago
- Bayesian Deep Learning Benchmarks☆671Updated 2 years ago
- Gaussian Process Optimization using GPy☆943Updated 2 years ago
- Gaussian processes in TensorFlow☆1,874Updated this week
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,500Updated last year
- Sequential model-based optimization with a `scipy.optimize` interface☆2,771Updated last year
- Python Library for Causal and Probabilistic Modeling using Bayesian Networks☆2,953Updated this week
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,894Updated last year
- Probabilistic reasoning and statistical analysis in TensorFlow☆4,340Updated last week
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆959Updated last year
- Python code for bayesian optimization using Gaussian processes☆313Updated 8 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆889Updated last year
- ☆915Updated 2 years ago
- A simple probabilistic programming language.☆694Updated 2 months ago
- Papers for Bayesian-NN☆323Updated 5 years ago
- A Python implementation of global optimization with gaussian processes.☆8,256Updated 2 weeks ago
- Bayesian Modeling and Probabilistic Programming in Python☆9,046Updated this week
- Python code for "Probabilistic Machine learning" book by Kevin Murphy☆6,777Updated 6 months ago
- (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.☆710Updated 3 years ago
- Building a Bayesian deep learning classifier☆486Updated 7 years ago
- A collection of Bayesian data analysis recipes using PyMC3☆557Updated last year
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆1,897Updated 2 months ago
- Course notes for CS228: Probabilistic Graphical Models.☆1,951Updated last year
- Bayesian Analysis with Python (Second Edition)☆665Updated last year
- Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code☆682Updated 3 years ago
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,310Updated 3 years ago
- A Python toolbox for performing gradient-free optimization☆4,071Updated this week