what_surprises's repositories
Padavan-build
Padavan 自动编译
2018-daguan-competition
2018年"达观杯"文本智能处理挑战赛-长文本分类-rank4
Bert-TextClassification
Implemention some Baseline Model upon Bert for Text Classification
Deep-Learning-with-TensorFlow-book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
deep-text-eval
Differnable Readability Measure Regularizer for Neural Network Automatic Text Simplification
diff_joint_estimate
GCN（word+doc）
Dive-into-DL-TensorFlow2.0
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可
Easy-deep-learning-with-Keras
Keras tutorial for beginners (using TF backend)
eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
english-reading
考研英语(10-19)数据集及相关数据分析
Fast-and-efficient-automatic-text-difficulty-classifier-for-second-language-learners
Fast and efficient automatic text difficulty classifier for second language learners
fastText
Library for fast text representation and classification.
Keras_Multi_Label_TextClassfication
本项目利用KERAS结合不同的分类器并使用Glove词向量，对文本进行多标签分类。This project uses KERAS,Glove and many classifiers to classify text multi-label classification
Lhy_Machine_Learning
李宏毅2021春季机器学习课程课件及作业
MRC-Pytorch
some classic models+BERT implements in RACE and SQuAD dataset using Pytorch
NLP-Conferences-Code
NLP-Conferences-Code (ACL、EMNL、NAACL、COLING、AAAI、IJCAI)
NLP-READABILITY
This repository includes the implementation of some readability formulas. The Weebit corpus was used. These algorithms were used for the completion of the master's thesis of the Big data and business analytics program taught by the IMF business school and the Antonio de Nebrija University during the year 2021.
nlp_highlights
The most important NLP highlights of 2018 (PDF Report)
OCRmyPDF
OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
Readability-Analysis-of-Privacy-Policies
Readability Analysis of Privacy Policies for Large-Scale Websites: A Perspective from Deep Learning and Linguistics
rt-n56u
Padavan
Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
STCKA
Reproducing the paper — Deep Short Text Classification with Knowledge Powered Attention
Text-Complexity-Classification
The goal of our project is to build a classifier that can identify text complexity with three readability levels for people who feel hard to understand to read texts in English to some extent, especially language learners. We also tested the hypothesis that clustering texts based on their topics can improve the performance on the text complexity classification because of the pertinence.
tianchi-multi-task-nlp
NLP中文预训练模型泛化能力挑战赛
tutorials
机器学习相关教程