Bayesian-Neural-Networks

Bayesian-Neural-Networks

JavierAntoran

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

deep-learning
View on GitHub
1.9k Stars
304 Forks
1.9k Watchers
Jupyter Notebook Language
mit License
Cost to Build
$95.2K
Market Value
$399.4K
How is this calculated?

Growth over time

7 data points  ·  2021-08-01 → 2025-08-01
Stars Forks Watchers
💬

How do you feel about this project?

Ask AI about Bayesian-Neural-Networks

Question copied to clipboard

What is the JavierAntoran/Bayesian-Neural-Networks GitHub project? Description: "Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone Bayesian-Neural-Networks

Clone via HTTPS

git clone https://github.com/JavierAntoran/Bayesian-Neural-Networks.git

Clone via SSH

[email protected]:JavierAntoran/Bayesian-Neural-Networks.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the Bayesian-Neural-Networks issue tracker:

Open GitHub Issues

Similar to Bayesian-Neural-Networks

tensorflow keras opencv caffe TensorFlow-Examples machine-learning-for-software-engineers Deep-Learning-Papers-Reading-Roadmap pytorch awesome-deep-learning-papers CNTK incubator-mxnet data-science-ipython-notebooks lectures Qix Screenshot-to-code openface spaCy cheatsheets-ai awesome-deep-learning pix2code handson-ml ML-From-Scratch dive-into-machine-learning tfjs tflearn awesome-datascience openpose caffe2 tfjs-core Machine-Learning-Tutorials