Pinned Repositories
awesome-deep-learning-papers
The most cited deep learning papers
awesome-gcn
resources for graph convolutional networks （图卷积神经网络相关资源）
awesome-knowledge-graph
整理知识图谱相关学习资料
AwesomeFakeNews
This repository contains recent research on fake news.
bootstrap
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
CapsNet-Visualization
🎆 A visualization of the CapsNet layers to better understand how it works
cnn-lstm-bilstm-deepcnn-clstm-in-pytorch
In pytorch Learing Neural Networks likes CNN(Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) 、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM
convnet
convnet
Deep-Learning-for-Medical-Applications
Deep Learning Papers on Medical Image Analysis
dr-nmf
Implementation of deep recurrent nonnegative matrix factorization (DR-NMF) for speech separation
GraemeHoo's Repositories
GraemeHoo/awesome-deep-learning-papers
The most cited deep learning papers
GraemeHoo/awesome-gcn
resources for graph convolutional networks （图卷积神经网络相关资源）
GraemeHoo/awesome-knowledge-graph
整理知识图谱相关学习资料
GraemeHoo/AwesomeFakeNews
This repository contains recent research on fake news.
GraemeHoo/CapsNet-Visualization
🎆 A visualization of the CapsNet layers to better understand how it works
GraemeHoo/cnn-lstm-bilstm-deepcnn-clstm-in-pytorch
In pytorch Learing Neural Networks likes CNN(Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) 、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM
GraemeHoo/convnet
convnet
GraemeHoo/early-fakenews-detection
Early Detection of Fake News on Social Media Through Propagation Path Classification with Recurrent and Convolutional Networks
GraemeHoo/GNNPapers
Must-read papers on graph neural networks (GNN)
GraemeHoo/GraemeHoo.github.io
GraemeHoo/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
GraemeHoo/graph_embedding
implement of the graph embedding methods
GraemeHoo/hacking-test
优麒麟活动项目
GraemeHoo/HBTP
Homogeneity-Based Transmissive Process To Model True and False News in Social Networks
GraemeHoo/kGCN
A graph-based deep learning framework for life science
GraemeHoo/lectures-labs
Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay
GraemeHoo/machine-learning-notes
This contains my machine learning notes in latex form
GraemeHoo/ML-From-Scratch
Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.
GraemeHoo/MVGCN
GraemeHoo/NRLPapers
Must-read papers on network representation learning (NRL) / network embedding (NE)
GraemeHoo/ntds_2017
Material for the EPFL master course "A Network Tour of Data Science", edition 2017.
GraemeHoo/pratise_quant
GraemeHoo/pytorch-doc-zh
PyTorch 中文文档
GraemeHoo/PyTorchZeroToAll
Simple PyTorch Tutorials Zero to ALL!
GraemeHoo/Rumor_RvNN
Source Codes: Rumor Detection on Twitter with Tree-structured Recursive Neural Networks -- ACL 2018
GraemeHoo/sohu
GraemeHoo/spatio-temporal-paper-list
Spatio-temporal modeling 论文列表（主要是graph convolution相关)
GraemeHoo/text_classification
all kinds of text classification models and more with deep learning
GraemeHoo/text_gcn
Graph Convolutional Networks for Text Classification. AAAI 2019
GraemeHoo/transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习