Ray's repositories
DeepCTR-Torch
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
NLP_ability
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力
DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
EasyRec
A framework for large scale recommendation algorithms.
Recommender-System-with-TF2.0
Recurrence the recommender paper with Tensorflow2.0
Tech_Aarticle
主要是我是日常看过的不错的文章的资源汇总，方便自己也分享给大家。有些我看过的，就会做简单的解读，没看过的，就先罗列一下，然后之后看了把解读更新上；涉及到搜索/推荐/自然语言处理。
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
pytorch-transformers
👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)
bert-utils
一行代码使用BERT生成句向量，BERT做文本分类、文本相似度计算
bert-as-service
Mapping a variable-length sentence to a fixed-length vector using BERT model
bert-toxic-comments-multilabel
Multilabel classification for Toxic comments challenge using Bert
bert
TensorFlow code and pre-trained models for BERT
EasyML
Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks.
models
Models and examples built with TensorFlow
kaggle-quora-question-pairs
Kaggle：Quora Question Pairs, 4th/3396 (https://www.kaggle.com/c/quora-question-pairs)
Ad-papers
Papers on Computational Advertising
zh_cnn_text_classify
基于CNN的中文文本分类算法（可应用于垃圾邮件过滤、情感分析等场景）
rnnModel
tensorflow
DeepLearningBook
MIT Deep Learning Book in PDF format
keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.
tensorflow
Computation using data flow graphs for scalable machine learning
caffe2
Caffe2 is a cross-platform framework made with expression, speed, and modularity in mind.
ChatScript
Natural Language tool/dialog manager
MachineLearning
Basic Machine Learning and Deep Learning
torch7
http://torch.ch