hhh's repositories
awaresome-neural-models-for-semantic-match
A curated list of papers dedicated to neural text (semantic) matching.
awesome-graph-embedding
A collection of important graph embedding, classification and representation learning papers with implementations.
awesome-sentence-embedding
A curated list of pretrained sentence(and word) embedding models
bert-as-service
Mapping a variable-length sentence to a fixed-length vector using BERT model
DataScienceCodes
codes collection for ML/DL/RL/BigData projects
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.
dgi
TensorFlow implementation of Deep Graph Infomax
DGI-1
Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
fastai
The fastai deep learning library, plus lessons and and tutorials
finetune-transformer-lm
Code and model for the paper "Improving Language Understanding by Generative Pre-Training"
GAT
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
GCMC
Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction
GNNPapers
Must-read papers on graph neural network (GNN)
Graph2Seq-0.1
This is the code for paper "Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks"
keras-gat
Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)
MatchZoo
MatchZoo is a toolkit for text matching. It was developed to facilitate the designing, comparing, and sharing of deep text matching models.
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.
pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
pytorch_DGCNN
PyTorch implementation of DGCNN
RMDL
RMDL: Random Multimodel Deep Learning for Classification
SR-GNN
Source code and datasets for paper "Session-based Recommendation with Graph Neural Networks"
StarSpace
Learning embeddings for classification, retrieval and ranking.
tensorflow-DSMM
Tensorflow implementations of various Deep Semantic Matching Models
Text-Classification
Implementation of papers for text classification task on DBpedia