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ncsn-tf2.0

Reproduction of "Generative Modeling by Estimating Gradients of the Data Distribution" (NeurIPS, 2019) in Tensorflow 2.0

ncsnv2

The official PyTorch implementation for NCSNv2 (NeurIPS 2020)

ocp

https://opencatalystproject.org/

ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

p-gnn

Position-aware Graph Neural Networks

phd-thesis-template

A LaTeX / XeLaTeX / LuaLaTeX PhD thesis template for Cambridge University Engineering Department (CUED)

pretrain-gnns

Strategies for Pre-training Graph Neural Networks

proto-mgnn

pytorch_diffusion

PyTorch reimplementation of Diffusion Models

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

pytorch_influence_functions

This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.

rl_graph_generation

score_sde_pytorch

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

shapegf

Learning Gradient Fields for Shape Generation

trajectory

Code for AAAI 2022 Submitted Paper

ugtr

www21

the denoise gvae of www21