hhh (hhh920406)

hhh920406

Geek Repo

Company:UESTC

Location:Chinese

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hhh's repositories

awaresome-neural-models-for-semantic-match

A curated list of papers dedicated to neural text (semantic) matching.

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awesome-graph-embedding

A collection of important graph embedding, classification and representation learning papers with implementations.

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awesome-sentence-embedding

A curated list of pretrained sentence(and word) embedding models

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bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

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DataScienceCodes

codes collection for ML/DL/RL/BigData projects

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DeepCTR

DeepCTR is a Easy-to-use,Modular and Extendible package of deep-learning based CTR models along with lots of core components layer which can be used to build your own custom model easily.

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dgi

TensorFlow implementation of Deep Graph Infomax

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DGI-1

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

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fastai

The fastai deep learning library, plus lessons and and tutorials

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finetune-transformer-lm

Code and model for the paper "Improving Language Understanding by Generative Pre-Training"

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GAT

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

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GCMC

Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction

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GNNPapers

Must-read papers on graph neural network (GNN)

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Graph2Seq-0.1

This is the code for paper "Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks"

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keras-gat

Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)

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MatchZoo

MatchZoo is a toolkit for text matching. It was developed to facilitate the designing, comparing, and sharing of deep text matching models.

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NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

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pyGAT

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

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pytorch_DGCNN

PyTorch implementation of DGCNN

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RMDL

RMDL: Random Multimodel Deep Learning for Classification

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SR-GNN

Source code and datasets for paper "Session-based Recommendation with Graph Neural Networks"

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StarSpace

Learning embeddings for classification, retrieval and ranking.

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tensorflow-DSMM

Tensorflow implementations of various Deep Semantic Matching Models

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Text-Classification

Implementation of papers for text classification task on DBpedia

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