hustercn's repositories
faiss_demo
近似最近邻搜索库faiss的简单使用
machine_translation
使用keras搭建rnn完成英文到中文翻译
sklearn-doc-zh
:book: [译] scikit-learn（sklearn） 中文文档
AI_competitions
AI比赛相关
JavaGuide
【Java学习+面试指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
google-research
Google AI Research
chineseGLUE
Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard
albert_zh
A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
bert-utils
一行代码使用BERT生成句向量，BERT做文本分类、文本相似度计算
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
AI-Job-Notes
AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）
Lepton
💻 Democratizing Snippet Management (macOS/Win/Linux)
python
利用python爬虫实现淘宝爬取网页，源代码来自**大学慕课嵩天老师的课程，自己做了修改
word2vec
This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research.
lihang-code
《统计学习方法》的代码实现
bert
TensorFlow code and pre-trained models for BERT
leetCode
:pencil2: 算法相关知识储备 LeetCode with Python :books:
interview
📚 C/C++面试知识总结
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15个章节，近20万字。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
word_cloud
A little word cloud generator in Python
ChineseTextClassification
cnn+rnn 中文文本分类
learning-nlp
nlp in action
TopicCluster
基于Kmeans与Lda模型的多文档主题聚类,输入多篇文档,输出每个主题的关键词与相应文本,可用于主题发现与热点分析
wordcloud
程序媛的浪漫表白，你的个人标签
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
ChineseWordCloud
Word Cloud for Chinese Text Corpus (中文词云制作)
chinese-text-multi-classification-clstm
A Multi-classification of chinese text with cnn-rnn model.
text-classification-cnn-rnn
CNN-RNN中文文本分类，基于tensorflow
LSTM-Sentiment-Analysis
Sentiment Analysis with LSTMs in Tensorflow
pytorch-doc-zh
PyTorch 中文文档