Popular GitHub Repositories for Laplace

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

Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )

Python implementation of an N-gram language model with Laplace smoothing and sentence generation.

Example problems in Physics informed neural network in JAX

Discrete Bayesian optimization with LLMs, PEFT finetuning methods, and the Laplace approximation.

An example of differential privacy with laplace mechanism in federated learning using Pytorch

?? laplace is an end-to-end ML framework to train and predict on neurally-enhanced graphs for recommendation. The pipeline is designed for self-supervised edge prediction on heterogenous graphs.

AutoDiff-Inference: Automatic Differentiation Inference. This Repository combines ADVI's change of variable power with Laplace Approximation to provide better inference for constrained parameters. Work done as a part of development of Bijax

Bayesian Analysis in Python (2nd ed.) with Numpyro