dreampai's repositories
_rasa_chatbot
A Chinese task oriented chatbot in IVR(Interactive Voice Response) domain, implement by rasa. This is a demo with toy dataset, more data should be added for performance.
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
ChatGLM-Tuning
一种平价的chatgpt实现方案, 基于ChatGLM-6B + LoRA
ChitChatAssistant
Rasa中文聊天机器人
crazytang
nlp demo
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
deeplearning-assignment
吴恩达-深度学习-课后作业-答案与总结
dreampai-image
save images
easy-bert
easy-bert是一个中文NLP工具，提供诸多bert变体调用和调参方法，极速上手；清晰的设计和代码注释，也很适合学习
guofei9987.github.io
个人博客，欢迎fork
jieba
结巴中文分词
lihang-code
《统计学习方法》的代码实现
Llama2-Chinese
reproduce of FlagAlpha/Llama2-Chinese
LLM-quickstart
Quick Start for Large Language Models (Theoretical Learning and Practical Fine-tuning) 大语言模型快速入门（理论学习与微调实战）
machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
NLPer-Interview
该仓库主要记录 NLP 算法工程师相关的面试题
pyhanlp
自然语言处理工具包HanLP的Python接口
python_data_analysis_and_mining_action
《python数据分析与挖掘实战》的代码笔记
Semantic-Textual-Similarity-Pytorch
experiments of some semantic matching models and comparison of experimental results.
Sentiment-Analysis-of-FIFA-WC-tweets
A random collection of 5.3 lac tweets on the FIFA world cup 2018 starting from the Round of 16 till the World Cup Final were analyzed using the TextBlob library which has a pre-trained built in lexicon to classify them as either positive, negative or neutral. A pie chart was used to show the percentage of positive, negative or neutral tweets related to the world cup.
SentimentWordExpansion
Self complemented sentiment words expansion using seed sentiment words and so-pmi , this method is tested to be effective， 基于情感种子词与so-pmi算法的情感词扩展.
sequence_tagging
Named Entity Recognition (LSTM + CRF) - Tensorflow
TextClassification-Keras
Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.