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3d-vision

这是我学习3d视觉中的一些笔记

a-unified-framework-for-deep-attribute-graph-clustering

This project is a scalable unified framework for deep graph clustering.

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome-awesome-machine-learning

A curated list of awesome lists across all machine learning topics. | 机器学习/深度学习/人工智能一切主题 (学习范式/任务/应用/模型/道德/交叉学科/数据集/框架/教程) 的资源列表汇总。

awesome-deep-graph-clustering

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

awesome-deep-group-recommendation

Awesome Deep Group Recommendation is a collection of SOTA, novel deep group recommendation methods (papers, codes, and datasets).

awesome-deep-multiview-clustering

awesome-incomplete-graph-representation-learning

A curated list for awesome incomplete graph representation learning resources.

awesome-kan

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.

awesome-knowledge-graph-reasoning

awesome-llm-kg

Awesome papers about unifying LLMs and KGs

awesome-molecular-graph-representation-learning

A curated list of resources for molecular graph representation learning.

awesome-pretrain-on-graphs

[Ai4Science@ICML 2022] A curated list of resources for pre-training on (molecular) graphs.

awesome-self-supervised-gnn

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

dcrn

[AAAI 2022] An official source code for paper Deep Graph Clustering via Dual Correlation Reduction.

deepclustering

Methods and Implements of Deep Clustering

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dink-net

[ICML 2023] An official source code for paper "Dink-Net: Neural Clustering on Large Graphs".

elcrec

End-to-end Learnable Clustering for Intent Learning in Recommendation

fastcodellama

Self-Acceleration of CodeLlama for Code Generation

gnnpapers

Must-read papers on graph neural networks (GNN)

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graph-neural-network

hsan

[AAAI 2023] An official source code for paper Hard Sample Aware Network for Contrastive Deep Graph Clustering.

idcrn

kan4graph

Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs

kan4rec

Implementation of Kolmogorov-Arnold Network (KAN) for Recommendations

machine-learning-nudt

markdown-resume

⭐️ Markdown 简历模版

minigpt-4

MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models