Stars
Kolmogorov-Arnold Transformer: A PyTorch Implementation with CUDA kernel
Official Repository for the Uni-Mol Series Methods
Official PyTorch and Diffusers Implementation of "LinFusion: 1 GPU, 1 Minute, 16K Image"
Official PyTorch implementation for Frequency Domain-based Dataset Distillation [NeurIPS 2023]
[CVPR2024] Efficient Dataset Distillation via Minimax Diffusion
A curated list of resources on implicit neural representations.
Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function
Learning Graphons via Structured Gromov-Wasserstein Barycenters
Implementation of Implicit Graphon Neural Representation
A curated list of awesome papers on dataset distillation and related applications.
[ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.
BUPTGraduateThesis提供北京邮电大学研究生学位论文LaTeX文档类，其符合北邮研究生院2014年11月发布的《关于研究生学位论文格式的统一要求》，目前已根据2017年标准修正格式、添加英文扉页，已根据2023年标准修正格式、添加答辩小组名单页，已根据2024年标准修正格式
Officially Accepted to IEEE Transactions on Medical Imaging (TMI, IF: 11.037) - Special Issue on Geometric Deep Learning in Medical Imaging.
Some Conferences' accepted paper lists (including AI, ML, Robotic)
A simple way to keep track of an Exponential Moving Average (EMA) version of your Pytorch model
Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"
ytchx1999 / Graphormer
Forked from microsoft/GraphormerThis is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".
Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression
This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.
A repository of pretty cool datasets that I collected for network science and machine learning research.
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
An Open-Source Toolkit for Heterogeneous Information Network Embedding (HINE)
Methods and Implements of Deep Clustering