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3dcnn

tensorflow 3dCNN for gesture recognition

3dcnn-1

3D convolutional neural network for video classification

asine

This repository provides a reference implementation of ASiNE (SIGIR 2020).

aspem

Code and data for paper AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks

atrank

An Attention-Based User Behavior Modeling Framework for Recommendation

attnconvnet

An attention-based neural network for multi-label sentence classification

awesome-2vec

Curated list of 2vec-type embedding models

bert-bilstm-crf-pytorch

使用谷歌预训练bert做字嵌入的BiLSTM-CRF序列标注模型

bine

BiNE: Bipartite Network Embedding

bpr

c3d

this project implements action recognition algorithm proposed in C3D: Generic Features for Video Analysis with esimator of Tensorflow

c3d-tensorflow

caser_pytorch

A PyTorch implementation of Convolutional Sequence Embedding Recommendation Model (Caser)

cgipool

chatgpt_kg_test

chinese-sequence-ner

chinese-sequence-ner多模型中文命名实体识别

comet-commonsense

Code for ACL 2019 Paper: "COMET: Commonsense Transformers for Automatic Knowledge Graph Construction" https://arxiv.org/abs/1906.05317

commonsenseerl_emnlp_2019

Code for the EMNLP 2019 paper: Event Representation Learning Enhanced with External Commonsense Knowledge.

conceptualprimitives

Tensorflow implementation of "SenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context Embeddings"

convkb

A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network (NAACL 2018)

data_mining_models

Basic data mining model, including feature importance display

dc-hi_guides

[Data Castle 算法竞赛] 精品旅行服务成单预测 final rank 11

decisiontree-randomforest-adaboost-gbdt-xgboost-lightgbm-catboost

Focus on decision tree and derivatives

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

disan

Code of Directional Self-Attention Network (DiSAN)

entity2rec

entity2rec generates item recommendation from knowledge graphs

event-tensors

Code and Datasets for the AAAI 2018 paper "Event Representations with Tensor-based compositions"

file_transfer

A file_transfer tools

gbdt_simple_tutorial

python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision

graph2tree

Code for Graph-to-Tree Learning for Solving Math Word Problems (ACL 2020)