GeAsSe's Stars
wizardAEI/Gomoon
Gomoon 基于大模型的桌面端效率工具
deepseek-ai/DeepSeek-V3
deepseek-ai/DeepSeek-R1
Lon3035/ACC_Setups
Setup collection for Assetto Corsa Competizione
Jhy1993/HAN
Heterogeneous Graph Neural Network
gordicaleksa/pytorch-GAT
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
StatsDLMathsRecomSys/Inductive-representation-learning-on-temporal-graphs
aravindsankar28/DySAT
Representation learning on dynamic graphs using self-attention networks
sang-woo-seo/TGIB
bighuang624/AI-research-tools
:hammer:AI 方向好用的科研工具
aladdinpersson/Algorithms-Collection-Python
Collection of Algorithms implemented in Python
aladdinpersson/Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
practical-tutorials/project-based-learning
Curated list of project-based tutorials
seven-echo/Dynamic-graph-dataset
Dynamic graph/network dataset for dynamic graph/network embedding/representation
bahjat-kawar/ddrm
[NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository
LiuChuang0059/Complex-Network
复杂网络研究资源整理和基础知识学习
Harryi0/dyrep_torch
robbertliu/deeplearning.ai-andrewNG
deeplearning.ai , By Andrew Ng, All slide and notebook + data + solutions and video link
ferencberes/online-node2vec
Node Embeddings in Dynamic Graphs
ytchx1999/Dynamic-Graph-Embedding-Methods-Summary
动态图嵌入方法学习
CRIPAC-DIG/DyGCN
Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"
tangjianpku/LINE
LINE: Large-scale information network embedding
fengdu78/Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
tcapelle/metnet_pytorch
A MetNet implementation in Pytorch and fastai
Basicconstruction/lite_BigInteger
Basicconstruction/BigIntegerUseVector
Zou-Wang/CNblogs-Theme-Sakura
基于Sakura美化的博客园样式
sergiomsilva/alpr-unconstrained
License Plate Detection and Recognition in Unconstrained Scenarios
zhubenfu/License-Plate-Detect-Recognition-via-Deep-Neural-Networks-accuracy-up-to-99.9
works in real-time with detection and recognition accuracy up to 99.8% for Chinese license plates: 100 ms/plate
xkcoding/spring-boot-demo
🚀一个用来深入学习并实战 Spring Boot 的项目。