Hao Wang's repositories
swjtuThesisV2.0
A LaTeX Template for PhD/MA Thesis of Southwest Jiaotong University (SWJTU) / 西南交通大学研究生学位论文LaTeX模板
cshaowang.github.io
Hao Wang's homepage: https://cshaowang.github.io/
LifelongSentimentClassification
Lifelong Learning for Sentiment Classification (or Lifelong Sentiment Classification)
Multi-view-Clustering
Codes for Multi-view Clustering
100-Days-Of-ML-Code
100 Days of ML Coding
awesome-deeplearning-resources
Deep Learning and deep reinforcement learning research papers and some codes
awesome-network-embedding
A curated list of network embedding techniques.
cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
CMU-MultimodalSDK
CMU MultimodalSDK is a machine learning platform for development of advanced multimodal models as well as easily accessing advanced multimodal datasets.
HATN
Hierarchical Attention Transfer Network for Cross-domain Sentiment Classification (AAAI'18)
hosts
镜像:https://coding.net/u/scaffrey/p/hosts/git
jemdoc_mathjax
jemdoc with MathJax support and more.
Lifelong-Learning-Paper-List
Lifelong/Continual Learning Paper List
miccai17-mmwhs-hybrid
If the code is helpful for your work, please cite our paper "Hybrid Loss Guided Convolutional Networks for Whole Heart Parsing" in STACOM Workshop of MICCAI 2017.
osmnx
OSMnx: Python for street networks. Retrieve, model, analyze, and visualize street networks and other spatial data from OpenStreetMap.
paper-reading
深度学习论文阅读、数据仓库实践体验。比做算法的懂工程落地,比做工程的懂算法模型。
spatio-temporal-paper-list
Spatio-temporal modeling 论文列表(主要是graph convolution相关)
Speech_Enhancement_DNN_NMF
Speech Enhancement based on DNN (Spectral-Mapping, TF-Masking), DNN-NMF, NMF
Text-Classification
Implementation of papers for text classification task on DBpedia
text_classification
all kinds of text classification models and more with deep learning
Urban-computing-papers
This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.