Pinned Repositories
2022_finvcup_baseline
信也杯 官方基线模型
AGAEMD
a new computational method to predict miRNA-disease associations
AGIF
Open source code for EMNLP 2020 Findings Paper "AGIF: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot Filling"
An-Introduction-to-Statistical-Learning
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
Deep-Learning-with-PyTorch-Tutorials
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
DialogueRelationClassification
DDRel: A new dataset for interpersonal relation classification in dyadic dialogues
language-model-arithmetic
Controlled Text Generation via Language Model Arithmetic
MSHGANMDA
MSHGANMDA is a method for miRNA-disease Prediction.
PRD
PRD: Peer Rank and Discussion Improve Large Language Model based Evaluations
The-Elements-of-Statistical-Learning-Python-Notebooks
A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
GorgeousWang's Repositories
GorgeousWang/GraphEmbedding
Implementation and experiments of graph embedding algorithms.
GorgeousWang/deeplabv3-plus-pytorch
这是一个deeplabv3-plus-pytorch的源码,可以用于训练自己的模型。
GorgeousWang/2022_finvcup_baseline
信也杯 官方基线模型
GorgeousWang/DeepLearning-MuLi-Notes
Notes about courses Dive into Deep Learning by Mu Li
GorgeousWang/Neo_GNNs
GorgeousWang/SGNNMD-1
SGNNMD: signed graph neural network for predicting deregulation types of miRNA-disease associations.
GorgeousWang/ResUNet
Step by Step ResUnet Model Architecture using Keras
GorgeousWang/mirna-disease-association-prediction
mirna-disease prediction
GorgeousWang/empiricalDQI
GorgeousWang/DAGN
Official implementation for the NAACL'21 short paper DAGN: Discourse-Aware Graph Network for Logical Reasoning.
GorgeousWang/BMGF-RoBERTa
Source Code for IJCAI 2020 paper "On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification"
GorgeousWang/AGIF
Open source code for EMNLP 2020 Findings Paper "AGIF: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot Filling"
GorgeousWang/GRPAMDA
a novel deep learning method to stydy miRNA-disease associations
GorgeousWang/EmpatheticDialogues
Dialogue model that produces empathetic responses when trained on the EmpatheticDialogues dataset.
GorgeousWang/PaddleViT
:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
GorgeousWang/MIMRDA
using the information of mRNA
GorgeousWang/DisCOC
Source Code for ACL 2021 paper "Exploring Discourse Structures for Argument Impact Classification"
GorgeousWang/UPC-nCoV-submit
自动填写**石油大学(华东)疫情防控通
GorgeousWang/DialogueRelationClassification
DDRel: A new dataset for interpersonal relation classification in dyadic dialogues
GorgeousWang/The-Elements-of-Statistical-Learning-Python-Notebooks
A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
GorgeousWang/MDPBMP
We downloaded the miRNA–disease associations provided by the latest version (v3.2) and the old version (v2.0) [25] from the HMDD database. We merged the two datasets and deleted duplicate miRNA–disease associations and ultimately obtained 18 732 miRNA–disease associations, including 894 diseases and 1206 miRNAs. Disease–gene associations DisGeNET [26] is a knowledge management platform that integrates and standardizes disease-related gene and variant data from multiple data sources. The latest version (v7.0) contains 1 134 924 gene–disease associations, involving 21 671 genes and 30 170 diseases. We matched the 894 diseases involved in the miRNA– disease associations with the 30 170 diseases involved in the gene–disease associations in DisGeNET and obtained 184 020 gene–disease associations, including 360 diseases and 17 119 genes. To ensure the reliability of the data, those gene–disease associations with a DisGeNET score>0.1 and an evidence index>0.5 will be selected. Ultimately, 16 985 gene–disease associations were obtained, including 328 diseases and 6022 genes.
GorgeousWang/Heterogeneous_Argument_Attention_Network
GorgeousWang/empathy_annotated_peer_reviews
GorgeousWang/An-Introduction-to-Statistical-Learning
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
GorgeousWang/Switchboard-Corpus
Utilities for Processing the Switchboard Dialogue Act Corpus
GorgeousWang/swda
Switchboard Dialog Act Corpus with Penn Treebank links
GorgeousWang/gaqcorpus
GorgeousWang/PyTorchDocs
PyTorch 官方中文教程包含 60 分钟快速入门教程,强化教程,计算机视觉,自然语言处理,生成对抗网络,强化学习。欢迎 Star,Fork!
GorgeousWang/deeplearning
GorgeousWang/lihang-code
《统计学习方法》的代码实现