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ant-learn-recsys

推荐系统从入门到实战

bert-fm-rl-trans

bert_seq2seq

pytorch实现 Bert 做seq2seq任务，使用unilm方案,现在也可以做自动摘要，文本分类，情感分析，NER，词性标注等任务,支持t5模型，支持GPT2进行文章续写。

capsule-networks

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

chinese-bert-wwm

Pre-Training with Whole Word Masking for Chinese BERT

darknet

Convolutional Neural Networks

dbsacn_example

deepctr

deepctr-1

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

deepie

DeepIE: Deep Learning for Information Extraction

deepinterestnetwork

deepmatch

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors for user and item which can be used for ANN search.

deeppath

code and docs for my EMNLP paper "DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning"

ernie

Source code and dataset for ACL 2019 paper "ERNIE: Enhanced Language Representation with Informative Entities"

kb2e

Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE

keras-rl

Deep Reinforcement Learning for Keras.

knowledge_distillation_caffe

KnowledgeDistillation Layer (Caffe implementation)

llmsurvey

The official GitHub page for the survey paper "A Survey of Large Language Models".

lstm

基于LSTM神经网络的时间序列预测

minerva

Meandering In Networks of Entities to Reach Verisimilar Answers

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

paddlerec

Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise等，包含经典推荐系统数据集criteo 、movielens等

pycorrector

pycorrector is a toolkit for text error correction. 文本纠错，Kenlm，ConvSeq2Seq，BERT，MacBERT，ELECTRA，ERNIE，Transformer，T5等模型实现，开箱即用。

pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

ssdkl

Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

transe

transformerdssm

该模型在DSSM模型的基础上，将模型的表示层使用基于Transformer的Encoder部分来实现。用于问答召回后的二次精排的融合方案。 基于开源代码开发，具体作者不详。

vec-pic

Vector visualization