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annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

awesome-knowledge-graph

整理知识图谱相关学习资料

cenet

Temporal Knowledge Graph Reasoning with Historical Contrastive Learning

cs-books

🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~

data-science-notes

数据科学的笔记以及资料搜集

deeplearning-assignment

深度学习笔记

deepwalk

DeepWalk - Deep Learning for Graphs

dgl

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

disenkgat

This is a PyTorch implementation for the CIKM-2021 paper (DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network).

evokg

[WSDM 2022] EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs

gensim

Topic Modelling for Humans

gmnn

Graph Markov Neural Networks

gnnpapers

Must-read papers on graph neural networks (GNN)

karateclub

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

kge

Some papers on Knowledge Graph Embedding(KGE)

kgs-survey

This is a repository of knowledge graphs survey paper that will be updated periodically.

knowledge-graph-publications

Top-level Conference Publications on Knowledge Graph

knowledge_graph_attention_network

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

knowledge_graph_reasoning_papers

Must-read papers on knowledge graph reasoning

knowledgegraphembedding

krlpapers

Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)

learn-python3

Learn Python 3 Sample Code

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！🚀

lhy_machine_learning

李宏毅2021春季机器学习课程课件及作业

machine-learning-session

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

openke

An Open-Source Package for Knowledge Embedding (KE)

pgat

ppt

『ACL 2023 Findings』Pre-trained Language Model with Prompts for Temporal Knowledge Graph Completion

python_data_structures_and_algorithms

Python 中文数据结构和算法教程