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sif

sentence embedding by Smooth Inverse Frequency weighting scheme

stack-lstm-ner

Transition-based NER system

stack-lstm-ner-1

NER system based on stack LSTMs

stack_lstm_ner_pytorch

tagger

Named Entity Recognition Tool

tensorflow-2.x-tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

tensorflow-handbook

简单粗暴 TensorFlow 2.0 | A Concise Handbook of TensorFlow 2.0

tensorflow-implementation-of-dbn-including-gbrbm-bbrbm-

The application of RBM using tensorflow. Including DBN and mult-type RBM (GBRBM, BBRBM)

tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等

tensorfow-rbm

Tensorflow implementation of Restricted Boltzmann Machine

text-classification

新闻上的文本分类：机器学习大乱斗

text-classification-cnn-rnn

CNN-RNN中文文本分类，基于TensorFlow

text_classification

使用rnn,lstm,gru,fasttext,textcnn,dpcnn,rnn-att,lstm-att,bert,bert-cnn,bert-rnn,bert-rcnn,han,xlnet等等做文本分类，以及对比

text_classification_mlp_cnn_lstm

Text classification using different models

text_vae

Text generation with a Variational Autoencoder

textclassification-pytorch

Pytorch + NLP, 一份友好的项目实践仓库

textclassify_with_bert

使用BERT模型做文本分类；面向工业用途

textualreconstructor

Training autoencoders to reconstruct text to generate valuable summarizations of sentences or paragraphs

tf-idf_txt_similarity

tfmetrics

package "tfmetrics" will be used to eval f1_score, recall_score, precision_score in tensorflow>1.12

th-cpl

清华大学计算机学科推荐学术会议和期刊列表

torchkeras

Pytorch❤️ Keras 😋😋

transformers

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

unblockneteasemusic

Revive unavailable songs for Netease Cloud Music

variational-autoencoder

Knowledge about Variational autoencoder!

weibo_wordcloud

根据关键词抓取微博数据，再生成词云

weiboner

Chinese social media (Weibo) corpus rearrangement, taking the word as the basic unit instead of character.

word2vec

用gensim和TensorFlow训练word2vec中文词向量

wzu-machine-learning-course

温州大学《机器学习》课程资料（代码、课件等）

xdeepfm

xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems