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Scottish_Fold007's Projects

bert_seq2seq icon bert_seq2seq

pytorch实现bert做seq2seq任务,使用unilm方案,现在也可以做文本分类,情感分析等NLU任务。

blurr icon blurr

A library that integrates huggingface transformers with version 2 of the fastai framework

c-cnn-for-chinese-sentiment-analysis icon c-cnn-for-chinese-sentiment-analysis

基于字符级卷积神经网络的细粒度的中文情感分析以及具体的应用,使用flask restful做出的后端服务化,具体的项目细节和讲解看右面的ppt

causalcollocation icon causalcollocation

CausalKnowledgeBase, causal knowledge base including causal pairs extracted from web text using the methods like PMI, Collocation。基于网络文本的因果知识库项目,采用PMI,搭配抽取等方法,形成因果对频繁集。

char_featurizer icon char_featurizer

汉字字符特征提取工具,可以提取出字符中的字音(声母、韵母、声调)、字形(偏旁、部首)、四角编码等特征,同时可作为tensor输入到模型

chars2vec icon chars2vec

Character-based word embeddings model based on RNN for handling real world texts

chindia icon chindia

2017 DF,CCF大数据与计算智能大赛——“中印对峙事件舆情分析”赛题全网数据

chinesehumorsentiment icon chinesehumorsentiment

ChineseHumorSentiment, chinese humor sentiment mining including corpus build and mining nlp methods.中文文本幽默情绪计算项目,项目包括幽默文本语料库的构建,幽默计算模型,包括幽默等级识别,幽默类型识别,隐喻类型识别,隐喻情绪识别等,语言是幽默的,NLP也应该是幽默的.

chinesenlpcorpus icon chinesenlpcorpus

搜集、整理、发布 中文 自然语言处理 语料/数据集,与 有志之士 共同 促进 中文 自然语言处理 的 发展。

cleanlab icon cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels

compare icon compare

A way of using Multiple Correspondence analysis to analyse Web Archives

conv-emotion icon conv-emotion

This repo contains implementation of different architectures for emotion recognition in conversations

corex_topic icon corex_topic

Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx

czech_textual_networks icon czech_textual_networks

This repository contains script for generation, analysis and visualization of word co-occurrence networks from texts in Czech. It includes functions for language data preprocessing, especially lemmatization and POS-tagging .

datainbrief icon datainbrief

a complete data infrastructure with collection, cleaning, storage, visualization, search, machine learning models, web servers, APIs, and caching.

declutr icon declutr

The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

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