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production-level-deep-learning

This repo attempts to serve as a guideline for building practical production-level deep learning systems to be deployed in real world applications.

rage

The Tensorflow implementation of "Review-driven Answer Generation for Product-related Questions in E-commerce ", WSDM 2019.

recommenders

Best Practices on Recommendation Systems

roberta_zh

RoBERTa中文预训练模型: RoBERTa for Chinese

rtb-papers

A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

sentence-transformers

Sentence Embeddings with BERT & XLNet

seq2seq-couplet

Play couplet with seq2seq model. 用深度学习对对联。

shap

A game theoretic approach to explain the output of any machine learning model.

sparkmagic

Jupyter magics and kernels for working with remote Spark clusters

spring-cloud-examples

Spring Cloud 学习案例，服务发现、服务治理、链路追踪、服务监控等

springboot-dynamicdatasource

Spring Boot Dynamic and Multiple DataSource project / Spring Boot 动态数据源、多数据源切换

springboot-learning-example

spring boot 实践学习案例，是 spring boot 初学者及核心技术巩固的最佳实践。

stanford-machine-learning-course

machine learning course programming exercise

synonyms

中文近义词工具包

synonym_detection

同义词挖掘算法

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

taadpapers

Must-read Papers on Textual Adversarial Attack and Defense

tesseract

Tesseract Open Source OCR Engine (main repository)

texar

Toolkit for Machine Learning and Text Generation, in TensorFlow

text-detection-ocr

Chinese text detection and recognition based on CTPN + DENSENET using Keras and Tensor Flow，使用keras和tensorflow基于CTPN+Densenet实现的中文文本检测和识别

text-to-text-transfer-transformer

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

textclassification-keras

Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.

text_classification

all kinds of text classification models and more with deep learning

transformer-tensorflow

TensorFlow implementation of 'Attention Is All You Need (2017. 6)'

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

tsfresh

Automatic extraction of relevant features from time series:

uer-py

wide_deep

Wide and Deep Learning for CTR Prediction in tensorflow

xlnet

XLNet: Generalized Autoregressive Pretraining for Language Understanding

zen

A BERT-based Chinese Text Encoder Enhanced by N-gram Representations