serenaquinn Goto Github PK

adsgnn

The code of paper ``AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search''

aspdecsscl

A Self-Supervised Contrastive Learning Framework for Aspect Detection

autosubmit

北京大学疫情出入校自动填报

blog-resources

This repo will contain the resources available in my blog for learning

ca-gnn

capsgnn-review-generation

Source code and datasets for the CIKM 2020 paper "Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network".

dec-tensorflow

Tensorflow implementation of "Unsupervised Deep Embedding for Clustering Analysis"

deep-mutual-learning

TensorFlow Implementation of Deep Mutual Learning

deep-mutual-learning-1

An unofficial implementation of Deep Mutual Learning by Pytorch to do classification on cifar100.

deep_learning_course

dgfraud

A Deep Graph-based Toolbox for Fraud Detection

dual_view_review_sum

Code for the SIGIR 2020 paper "A Unified Dual-view Model for Review Summarization and Sentiment Classification with Inconsistency Loss"

efanna_graph

an Extremely Fast Approximate Nearest Neighbor graph construction Algorithm framework

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

gear

Source code for ACL 2019 paper "GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification"

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

graph-to-seq-comment-generation

Code for the paper ``Coherent Comments Generation for Chinese Articles with a Graph-to-Sequence Model''

graph2seq

Graph2Seq is a simple code for building a graph-encoder and sequence-decoder for NLP and other AI/ML/DL tasks.

graphformers

graphrfi

gtos

Code for AAAI2020 paper "Graph Transformer for Graph-to-Sequence Learning"

hetgt

Heterogeneous Graph Transformer for Graph-to-Sequence Learning

hin-datasets-for-recommendation-and-network-embedding

Heterogeneous Information Network Datasets for Recommendation and Network Embedding

keras-gat

Keras implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

machine_learning_resources

:fish::fish::fish: 机器学习面试复习资源

megatron-lm

Ongoing research training transformer language models at scale, including: BERT & GPT-2

meta-gnn

naiveriscvsimulator

narre

This is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations