Bauhinia-bloom

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, ... 🧠

Bauhinia-bloom.github.io

blog

College-Students-Behavior-Analysis-and-Prediction-System

大学生行为分析与预测系统

DataMining-

分享数据挖掘课大作业竞赛的资料

FastRDFStore

The MSR FastRDFStore Package is designed for creating an in-memory index of RDF triples, implemented as a WCF service in C#, and consists of server & client side code.

graph-2-text

Graph to sequence implemented in Pytorch combining Graph convolutional networks and opennmt-py

Graph2Seq-for-KGQG

Code & data accompanying the paper "Toward Subgraph Guided Knowledge Graph Question Generation with Graph Neural Networks"

graph4nlp

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP

introRL

Intro to Reinforcement Learning (强化学习纲要）

IRN

code and data for my COLING paper "An Interpretable Reasoning Network for Multi-Relation Question Answering"

Bauhinia-bloom/College-Students-Behavior-Analysis-and-Prediction-System

大学生行为分析与预测系统

Bauhinia-bloom/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, ... 🧠

Bauhinia-bloom/Bauhinia-bloom.github.io

blog

Bauhinia-bloom/DataMining-

分享数据挖掘课大作业竞赛的资料

Bauhinia-bloom/FastRDFStore

The MSR FastRDFStore Package is designed for creating an in-memory index of RDF triples, implemented as a WCF service in C#, and consists of server & client side code.

Bauhinia-bloom/graph-2-text

Graph to sequence implemented in Pytorch combining Graph convolutional networks and opennmt-py

Bauhinia-bloom/Graph2Seq-for-KGQG

Code & data accompanying the paper "Toward Subgraph Guided Knowledge Graph Question Generation with Graph Neural Networks"

Bauhinia-bloom/graph4nlp

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP

Bauhinia-bloom/introRL

Intro to Reinforcement Learning (强化学习纲要）

Bauhinia-bloom/IRN

code and data for my COLING paper "An Interpretable Reasoning Network for Multi-Relation Question Answering"

Bauhinia-bloom/MemNN

Memory Networks implementations

Bauhinia-bloom/mhqg

Source code and dataset for "Difficulty-controllable Multi-hop Question Generation From Knowledge Graphs"

Bauhinia-bloom/movieqa

基于知识图谱的电影领域问答系统内

Bauhinia-bloom/Question-Generation-Paper-List

A summary of must-read papers for Neural Question Generation (NQG)

Bauhinia-bloom/RDF-to-Text

Bauhinia-bloom/Supply-chain-analysis-and-forecasting-project

供需链分析与预测

Bauhinia-bloom/zhangkun.github.io