iDylanCui's starred repositories
nlp-beginner
NLP上手教程
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scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
Awesome-Chinese-NLP
A curated list of resources for Chinese NLP 中文自然语言处理相关资料
Data-Competition-TopSolution
Data competition Top Solution 数据竞赛top解决方案开源整理
DeepNLP-models-Pytorch
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
gt-nlp-class
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
pytorch-handbook
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
nlp_chinese_corpus
大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP
PyTorchNLPBook
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L
nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
PyTorch-Tutorial
Build your neural network easy and fast, 莫烦Python中文教学
awesome-pytorch-scholarship
A list of awesome PyTorch scholarship articles, guides, blogs, courses and other resources.
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
nn4nlp-code
Code Samples from Neural Networks for NLP
speech-language-processing
A curated list of speech and natural language processing resources
book-of-qna-code
code collections for the book of qna
algorithms
Bug-tracking for Jeff's algorithms book, notes, etc.
KGQA-Based-On-medicine
基于医药知识图谱的智能问答系统
QASystemOnMedicalKG
A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建,自动问答,基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱,并以该知识图谱完成自动问答与分析服务。
bi-att-flow
Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.