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annotated_deep_learning_paper_implementations

🧑‍🏫 59 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, ... 🧠

classification-pytorch

这是各个主干网络分类模型的源码，可以用于训练自己的分类模型。

cogkr

Source code and dataset for paper "Cognitive Knowledge Graph Reasoning for One-shot Relational Learning"

cognitive-graph

This is the code of paper Deep Cognitive Reasoning Network for Multi-hop Question Answering over Knowledge Graphs. Jianyu Cai, Zhanqiu Zhang, Feng Wu, Jie Wang. Findings of ACL 2021

cogqa

Source code and dataset for ACL 2019 paper "Cognitive Graph for Multi-Hop Reading Comprehension at Scale"

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

deeplearning-muli-notes

Notes about courses Dive into Deep Learning by Mu Li

gnn

gnn还附带一个kgcn

graphmask

Official implementation of GraphMask as presented in our paper Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking.

guide-rpc-framework

A custom RPC framework implemented by Netty+Kyro+Zookeeper.（一款基于 Netty+Kyro+Zookeeper 实现的自定义 RPC 框架-附详细实现过程和相关教程。）

java

kbqa-for-diagnosis

Knowledge Graph,Question Answering System，基于知识图谱和向量检索的医疗诊断问答系统

openhgnn

This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

openke

An Open-Source Package for Knowledge Embedding (KE)

pgexplainer

Parameterized Explainer for Graph Neural Network

pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

pytorch-gnn-1st

pytorch-gnn-2nd-

qasystemonmedicalkg

A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。

t-gcn

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

train_custom_dataset

标注自己的数据集，训练、评估、测试、部署自己的人工智能算法