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eileen456123's Projects

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

dive-into-dl-pytorch icon dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

fake-news icon fake-news

Detection of fake and real news using machine learning algorithms and techniques.

fake-news-detection icon fake-news-detection

This repo is a collection of AWESOME things about fake news detection, including papers, code, etc.

fake-news-detection-2 icon fake-news-detection-2

Used BERT embeddings on LIAR dataset for multi-class classification to achieve state-of-the-art results.

fake-news-detection-3 icon fake-news-detection-3

Master's thesis about Fake News Challenge Stage 1 with BERT, RoBERTa, DistilBERT, ALBERT and XLNet

fake_news_detection icon fake_news_detection

This project is for Fake News Detection using NLP and Machine Learning. And then Deploying it using Flask.

gnn4nlp-papers icon gnn4nlp-papers

A list of recent papers about Graph Neural Network methods applied in NLP areas.

ml2021-spring icon ml2021-spring

李宏毅 (Hung-Yi Lee) 機器學習 Machine Learning 2021 Spring

nlp-tutorial icon nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nlp-tutorial-1 icon nlp-tutorial-1

自然语言处理(NLP)教程,包括:词向量,词法分析,预训练语言模型,文本分类,文本语义匹配,信息抽取,翻译,对话。

nlp_ability icon nlp_ability

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识,包括面试题,各种基础知识,工程能力等等,提升核心竞争力

nlp_tutorial icon nlp_tutorial

NLP超强入门指南,包括各任务sota模型汇总(文本分类、文本匹配、序列标注、文本生成、语言模型),以及代码、技巧

python-tutorial icon python-tutorial

Python实用教程,包括:Python基础,Python高级特性,面向对象编程,多线程,数据库,数据科学,Flask,爬虫开发教程。

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