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atrank

An Attention-Based User Behavior Modeling Framework for Recommendation

autofis

AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction

bcvm

chinese-literature-ner-re-dataset

A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature Text

chinese_models_for_spacy

SpaCy 中文模型 | Models for SpaCy that support Chinese

continuousparetomtl

[ICML 2020] PyTorch Code for "Efficient Continuous Pareto Exploration in Multi-Task Learning"

cw2vec

cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information

deep-ctr-prediction

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

deep_learning_estimator_labels

深度学习，针对多目标任务，在推荐算法的ctr预估等场景中的应用，项目使用tensorflow estimator进行封装，包括esmm、mmoe模型

deep_learning_nlp

Keras Implementations of Deep Learning Architectures for NLP

deepctr-1

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

deeprec

Implementation of Deep Learning based Recommender Algorithms with Tensorflow.

deeptype

Design, evolve, and train neural type systems.

dien

dkn

A tensorflow implementation of DKN (Deep Knowledge-aware Network for News Recommendation)

dl-rerank

drl-rec

Deep reinforcement learning for recommendation system

dsin

Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"

dstn

Deep Spatio-Temporal Neural Network (DSTN)

end-to-end-sequence-labeling-via-bi-directional-lstm-cnns-crf-tutorial

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

exposure

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

fmfm

hanziku

hpmn

Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.

hscrf-pytorch

ACL 2018: Hybrid semi-Markov CRF for Neural Sequence Labeling (https://arxiv.org/pdf/1805.03838.pdf)

icafusion

ICAFusion: Iterative Cross-Attention Guided Feature Fusion for Multispectral Object Detection, Pattern Recognition

intelligent-traffic-based-on-cv

本项目是基于计算机视觉的端到端交通路口智能监控系统．采用的设计架构由SRS流媒体服务器、GPU服务器、Local客户端三部分组成．可将远端视频流通过rtmp协议传输到流媒体服务器，然后经过目标检测等一些列算法对视频进行分析，最后在本地客户端查看分析结果．项目主要用Python实现，流媒体服务器采用开源的SRS实时视频服务器搭建，GPU服务器使用YOLO模型实现道路目标如人、车、交通灯等物体的识别，同时还支持并发连接．客户端基于PyQt5进行开发．

jarvis

Jarvis is a toolbox built on top of TensorFlow2.0 that allows developers and researchers to easily build neural networks in TensorFlow, particularly CTR models for large-scale advertising and recommendation scenarios.

latticelstm

Chinese NER using Lattice LSTM. Code for ACL 2018 paper.

libnvidia-container

NVIDIA container runtime library