LI ZHENG (hsqmlzno1)

hsqmlzno1

Geek Repo

Company:Amazon Search

Location:USA

Home Page:https://hsqmlzno1.github.io/

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LI ZHENG's starred repositories

facenet

Face recognition using Tensorflow

Language:PythonLicense:MITStargazers:13608Issues:564Issues:1126

deepwalk

DeepWalk - Deep Learning for Graphs

Language:PythonLicense:NOASSERTIONStargazers:2653Issues:85Issues:111

texar

Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

Language:PythonLicense:Apache-2.0Stargazers:2380Issues:77Issues:159

tensorflow-DeepFM

Tensorflow implementation of DeepFM for CTR prediction.

Language:PythonLicense:MITStargazers:2033Issues:67Issues:80

pixel-cnn

Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"

Language:PythonLicense:NOASSERTIONStargazers:1901Issues:227Issues:50

awesome-transfer-learning

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

text_gcn

Graph Convolutional Networks for Text Classification. AAAI 2019

graph-generation

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

Language:PythonLicense:MITStargazers:680Issues:19Issues:16

SDNE

This is a implementation of SDNE (Structural Deep Network embedding)

Generate_To_Adapt

Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"

M-ADDA

Domain Adaptation Based on the Triplet Loss

JDDA-Master

Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation(AAAI-2019)

man

Multinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)

Language:PythonLicense:MITStargazers:80Issues:7Issues:5

DAS

Code and datasets for EMNLP2018 paper ‘‘Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification’’.

Language:PythonLicense:Apache-2.0Stargazers:53Issues:4Issues:1

HUAPA

AAAI18 paper 《Improving Review Representations with User Attention and Product Attention for Sentiment Classification》

Graph-Based-TC

Graph-based framework for text classification

Language:PythonStargazers:24Issues:4Issues:0

tf_face_model

face recognition center loss model implemented by tensorflow.

Language:PythonStargazers:8Issues:1Issues:0

DACI

"This is the code and data release of the 2018 IJCAI paper 《Domain adapatation via Tree Kernel Based Maximus Mean Discrepancy for User Consumption Intention Identification》"

Language:PythonStargazers:7Issues:0Issues:0

tf-center-loss

training model using center-loss for face recognition

Language:PythonStargazers:5Issues:2Issues:0