Pinned Repositories
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Datawhale成员整理的面经，内容包括机器学习，CV，NLP，推荐，开发等，欢迎大家star
ADAGAE
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
Awesome-Deep-Graph-Clustering
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
awesome-graph-self-supervised-learning
Awesome Graph Self-Supervised Learning
bgrl
PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)
ChatPaper
Use ChatGPT to summarize the arXiv papers.
ChebyGCN
Papers_Statistic
StudentManager
Natavidad's Repositories
Natavidad/Papers_Statistic
Natavidad/-
Datawhale成员整理的面经，内容包括机器学习，CV，NLP，推荐，开发等，欢迎大家star
Natavidad/ADAGAE
Natavidad/Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
Natavidad/Awesome-Deep-Graph-Clustering
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
Natavidad/awesome-graph-self-supervised-learning
Awesome Graph Self-Supervised Learning
Natavidad/ChatPaper
Use ChatGPT to summarize the arXiv papers.
Natavidad/DCRN
An official source code for paper Deep Graph Clustering via Dual Correlation Reduction, accepted by AAAI 2022.
Natavidad/Deep-Learning-Interview-Book
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
Natavidad/DGI
Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
Natavidad/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Natavidad/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Natavidad/GCA
[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
Natavidad/GNNPapers
Must-read papers on graph neural networks (GNN)
Natavidad/GPRGNN
Natavidad/graphSAGE-pytorch
A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
Natavidad/HowToCook
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Chinese only).
Natavidad/langchain
⚡ Building applications with LLMs through composability ⚡
Natavidad/LeetCode-Go
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
Natavidad/leetcode-master
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
Natavidad/LLMSurvey
The official GitHub page for the survey paper "A Survey of Large Language Models".
Natavidad/modelscope-agent
ModelScope-Agent: An agent framework connecting models in ModelScope with the world
Natavidad/natavidad
Natavidad/pandasai
Natavidad/prompt-engineering-for-developers
吴恩达大模型系列课程中文版，包括《Prompt Engineering》、《Building System》和《LangChain》
Natavidad/pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
Natavidad/python-algorithm
老宋秋招刷题日记， 语言使用python
Natavidad/RecSysPapers
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
Natavidad/SGC
official implementation for the paper "Simplifying Graph Convolutional Networks"
Natavidad/tensor-house
A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.