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attention_based_rnn_for_intent_detetaction_and_slot_filling

The tensorflow implementation of <Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling>

bert

TensorFlow code and pre-trained models for BERT

bert-utils

BERT生成句向量，BERT做文本分类、文本相似度计算

chatbot

一个可以自己进行训练的中文聊天机器人， 根据自己的语料训练出自己想要的聊天机器人，可以用于智能客服、在线问答、智能聊天等场景。加入seqGAN版本。

chatbotcourse

自己动手做聊天机器人教程

deepid

tensorflow + python3实现，目标是实现DeepID2+

deepid1

Implementation of DeepID1 using tensorflow.

deepid2

Implementation of DeepID2

deepid_faceclassify

Practise of DeepID for Face Classification

drawfolder

dstn

Deep Spatio-Temporal Neural Network (DSTN)

face_recognition

Face Recognition based on DeepID

facenet

Face recognition using Tensorflow

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

iharbor_task

itchat

A complete and graceful API for Wechat. 微信个人号接口、微信机器人及命令行微信，三十行即可自定义个人号机器人。

itchatmp

A complete and graceful API for wechat mp. 完备优雅的微信公众号接口，原生支持同步、协程使用。

joint-bayesian

Face verify using Joint Bayesian, implemented by Python

mtcnn-tensorflow

Reproduce MTCNN using Tensorflow

mtcnn_face_detection_alignment

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

mxnet_mtcnn_face_detection

MTCNN face detection

nsfw_data_scrapper

Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier

pytorch-pretrained-bert

The Big-&-Extending-Repository-of-Transformers: PyTorch pretrained models for Google's BERT, OpenAI GPT & GPT-2 and Google/CMU Transformer-XL.

qrcodescanner

An optimized qr code scan tool forked from zxing.

rnn-for-joint-nlu

Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

rnn-for-joint-nlu-1

Tensorflow implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

rnn-nlu

A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling

slot_filling_intent_joint_model

attention based joint model for intent detection and slot filling

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

tabeldetection

Using deep-leaning detect tables in the documet image