NLP-kr / Tensorflow Ml Nlp
텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)
Stars: ✭ 176
Labels
Projects that are alternatives of or similar to Tensorflow Ml Nlp
25daysinmachinelearning
I will update this repository to learn Machine learning with python with statistics content and materials
Stars: ✭ 53 (-69.89%)
Mutual labels: jupyter-notebook, logistic-regression, random-forest, numpy
Machine Learning Projects
This repository consists of all my Machine Learning Projects.
Stars: ✭ 135 (-23.3%)
Mutual labels: jupyter-notebook, pandas, sklearn, numpy
Data Analysis
主要是爬虫与数据分析项目总结，外加建模与机器学习，模型的评估。
Stars: ✭ 142 (-19.32%)
Mutual labels: jupyter-notebook, pandas, sklearn, numpy
Machine Learning Alpine
Alpine Container for Machine Learning
Stars: ✭ 30 (-82.95%)
Mutual labels: jupyter-notebook, pandas, xgboost, numpy
Machine Learning With Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Stars: ✭ 2,197 (+1148.3%)
Mutual labels: jupyter-notebook, pandas, random-forest, numpy
Chinese Chatbot
中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。
Stars: ✭ 124 (-29.55%)
Mutual labels: chatbot, jupyter-notebook, seq2seq
Ml Cheatsheet
A constantly updated python machine learning cheatsheet
Stars: ✭ 136 (-22.73%)
Mutual labels: pandas, sklearn, numpy
Cheatsheets.pdf
📚 Various cheatsheets in PDF
Stars: ✭ 159 (-9.66%)
Mutual labels: jupyter-notebook, pandas, numpy
Ta
Technical Analysis Library using Pandas and Numpy
Stars: ✭ 2,649 (+1405.11%)
Mutual labels: jupyter-notebook, pandas, numpy
Ai Chatbot Framework
A python chatbot framework with Natural Language Understanding and Artificial Intelligence.
Stars: ✭ 1,564 (+788.64%)
Mutual labels: chatbot, sklearn, nltk
Practical Machine Learning With Python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Stars: ✭ 1,868 (+961.36%)
Mutual labels: jupyter-notebook, pandas, nltk
Py
Repository to store sample python programs for python learning
Stars: ✭ 4,154 (+2260.23%)
Mutual labels: jupyter-notebook, pandas, numpy
Data Science For Marketing Analytics
Achieve your marketing goals with the data analytics power of Python
Stars: ✭ 127 (-27.84%)
Mutual labels: jupyter-notebook, pandas, numpy
Dat8
General Assembly's 2015 Data Science course in Washington, DC
Stars: ✭ 1,516 (+761.36%)
Mutual labels: jupyter-notebook, pandas, logistic-regression
Seaborn Tutorial
This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.
Stars: ✭ 114 (-35.23%)
Mutual labels: jupyter-notebook, pandas, numpy
Data science blogs
A repository to keep track of all the code that I end up writing for my blog posts.
Stars: ✭ 139 (-21.02%)
Mutual labels: chatbot, jupyter-notebook, xgboost
Stock Price Predictor
This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
Stars: ✭ 146 (-17.05%)
Mutual labels: jupyter-notebook, pandas, numpy
Ditching Excel For Python
Functionalities in Excel translated to Python
Stars: ✭ 172 (-2.27%)
Mutual labels: jupyter-notebook, pandas, numpy
Isl Python
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
Stars: ✭ 108 (-38.64%)
Mutual labels: jupyter-notebook, logistic-regression, random-forest
텐서플로2와 머신러닝으로 시작하는 자연어처리 책이 나왔습니다. 두번째 책은 아래 링크를 참고해주시기 바랍니다.
두번째 책 링크: https://github.com/NLP-kr/tensorflow-ml-nlp-tf2
NLPBOOK
텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀회귀부터 트렌스포머 챗봇까지)
소개 (Introduction)
책에 수록된 자연어 처리 예제들을 모아놓은 리파지토리입니다.
본 리파지토리는 텐서플로우와 머신러닝으로 시작하는 자연어처리 책과 같이 활용하여 공부하시면 더욱 도움이 되실겁니다.
필요한 라이브러리들 (Reuquirements)
- Python3
- Tensorflow==1.10
- numpy
- pandas
- matplot
설치방법 (Environments)
pip install -r requirements.txt
만약 설치가 정상적으로 진행되지 않으신다면 python 3.6을 설치하여 진행해주시기 바랍니다.
conda install python=3.6
GPU 사용 시 CUDA 설치 관련
- GPU를 사용하는 경우에는 텐서플로우와 호환이 되는 CUDA Version을 맞춰 설치해야 합니다.
- 현재 본 프로젝트는
tensorflow==1.10버전에서 실행이 가능하도록 구현 및 테스트를 하였습니다. -
tensorflow-gpu==1.10의 경우CUDA 9.0을 설치해주시기 바랍니다.
목차 (Table of Contents)
준비 단계 - 자연어 처리에 대한 배경과 개발에 대한 준비를 위한 챕터입니다.
자연어 처리 기본 - 자연어 처리에 기본적인 모델에 대한 연습 챕터입니다.
자연어 처리 심화 - 챗봇 모델을 통해 보다 심화된 자연어 처리에 대한 연습 챕터입니다.
문의사항 (Inquiries)
Pull Request는 언제든 환영입니다. 문제나 버그, 혹은 궁금한 사항이 있으면 이슈에 글을 남겨주세요.
**이슈를 확인하기 전에 Wiki에 도큐먼트 먼저 보시고 이슈에 글을 남겨주세요!
저자 (Authors)
ChangWookJun / @changwookjun ([email protected])
Taekyoon / @taekyoon ([email protected])
JungHyun Cho / @JungHyunCho ([email protected])
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].