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frostjsy's Projects

pynlp icon pynlp

NLP related tasks, including text classification, sequence annotation, text relations, machine translation and other tasks.

python icon python

All Algorithms implemented in Python

rasa_nlu_chi icon rasa_nlu_chi

Turn Chinese natural language into structured data 中文自然语言理解

rnn-for-joint-nlu icon rnn-for-joint-nlu

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

rnn-nlu icon rnn-nlu

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

rnn_joint_nlu_chinese icon rnn_joint_nlu_chinese

Train Joint_NLU model using Chinese 中文意图和槽联合模型 tensorflow实现和pytorch实现

robertta_albert_bert_zh icon robertta_albert_bert_zh

微调bert相关模型,进行命名实体识别、意图分析(文本多分类)、相似句判断、同义句生成,构建智能问答

sequence-labeling-bilstm-crf icon sequence-labeling-bilstm-crf

The classical BiLSTM-CRF model implemented in Tensorflow, for sequence labeling tasks. In Vex version, everything is configurable.

serving icon serving

A flexible, high-performance serving system for machine learning models

sf-id-network-for-nlu icon sf-id-network-for-nlu

This is the source implementation of ACL2019 accepted paper: A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling(https://www.aclweb.org/anthology/P19-1544).

skip-thoughts icon skip-thoughts

Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"

slotfilling icon slotfilling

Using Tensorflow to train a slot-filling & intent joint model

slotgated-slu icon slotgated-slu

Slot-Gated Modeling for Joint Slot Filling and Intent Prediction

slu icon slu

多轮对话系统的多意图识别

smp2019-ecdt-nlu icon smp2019-ecdt-nlu

**中文信息学会社会媒体处理专业委员会举办的2019届中文人机对话之自然语言理解竞赛

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

tensorflow_poems icon tensorflow_poems

中文古诗自动作诗机器人,屌炸天,基于tensorflow1.10 api,正在积极维护升级中,快star,保持更新!

tensorflow_serving_with_mnist icon tensorflow_serving_with_mnist

Creating ML model is a task that requires most attantion while building the AI related business solution. But it is equally necessary to oversee hoe the model will be used after production for usage by user. Tensorflow provides this servicd called tensorflow serving for packing the model and necessary data into a docker container and then deploye it over any server for predictions.

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