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ad-papers

Papers on Computational Advertising

ai-recommendersystem

该仓库尝试整理推荐系统领域的一些经典算法模型

awesome-pytorch-chinese

【干货】史上最全的PyTorch学习资源汇总

bert

TensorFlow code and pre-trained models for BERT

bert4rec

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

bigdata_praticise1

大数据分析练习--婴儿名字分析

chatbot

具有情景及舆情的聊天机器人

chinese-bert-wwm

Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

codereader

跟大咖一起读源码

datacastle_travel_services_predict

第二届智慧**杯精品旅行服务成单预测解决方案： A 榜 Rank7（AUC 0.97460）；B榜 Rank 4（AUC 0.97539）

deep-learning-papers

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deep_learning-1

Basic Deep Learning

deepctr

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

deeplearning.ai

The notes and answers of Adrew Ng's coursera course: deeplearning.ai

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.

dialog_corpus

用于训练中英文对话系统的语料库 Datasets for Training Chatbot System

dnn_ctr

The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc

dssm

DSSM and Multi-View DSSM

dssm-lookalike

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

ecosystem

Integration of TensorFlow with other open-source frameworks

faiss

A library for efficient similarity search and clustering of dense vectors.

faiss_note

faiss wiki in chinese.

flink-learning

flink learning blog. http://www.54tianzhisheng.cn/ 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例，还有 Flink 落地应用的大型项目案例（PVUV、日志存储、百亿数据实时去重、监控告警）分享。欢迎大家支持我的专栏《大数据实时计算引擎 Flink 实战与性能优化》

go

The Go programming language

go-fundamental-programming

《Go 编程基础》是一套针对 Google 出品的 Go 语言的视频语音教程，主要面向新手级别的学习者。

graphembedding

Implementation and experiments of graph embedding algorithms.

gru4rec

GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.

gru4rec_tensorflow

TensorFlow implemenation of GRu4Rec model