Pinned Repositories
awesome-bayes
List of resources for bayesian inference
awesome-graph-self-supervised-learning
Awesome Graph Self-Supervised Learning
awesome-self-supervised-learning-for-graphs
A curated list for awesome self-supervised learning for graphs.
awesome-uncertainty-deeplearning
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
bayesian-torch
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
BayesianML
Experiments in Bayesian Machine Learning
causallib
A Python package for modular causal inference analysis and model evaluations
causalml
Uplift modeling and causal inference with machine learning algorithms
GCL
List of Publications in Graph Contrastive Learning
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