VGMGC

Bayesian Modeling and Probabilistic Programming in Python

Deep universal probabilistic programming with Python and PyTorch

A distributed graph deep learning framework.

Gaussian processes in TensorFlow

Awesome resources on normalizing flows.

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

Seminars DeepBayes Summer School 2018

Training neural models with structured signals.

[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"

[NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository