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10-steps-to-become-a-data-scientist

📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.

100-pandas-puzzles

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

12306

12306智能刷票，订票

abu

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

acl2016-optimizing-rouge

Code for our optimizer which takes scored sentences and extract the best summary according to the ROUGE approximation.

adaboost_onevsall

Perform Boosting feedforward neural networks on MNIST database using AdaBoost. As AdaBoost performs only binary classification, we create 10 classifiers (one for each digit) and apply the OneVsAll to classify the example

ai-chatbot-framework

A python chatbot framework with Natural Language Understanding and Artificial Intelligence.

ai-roadmap

ApacheCN AI 路线图（知识树）

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

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

amazing-feature-engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

amazon-review-extraction

Extract user reviews of any product in amazon

apollo

An open autonomous driving platform

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

awd-lstm-lm

awesome-chatbot

Awesome Chatbot Projects,Corpus,Papers,Tutorials.Chinese Chatbot =>:

awesome-chinese-nlp

A curated list of resources for Chinese NLP 中文自然语言处理相关资料

awesome-embedding-models

A curated list of awesome embedding models tutorials, projects and communities.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-mobility-machine-learning-contents

Machine Learning / Deep Learning Contents in Mobility Industry(Transportation)

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

awesome-public-datasets

A topic-centric list of HQ open datasets. PR ☛☛☛

awesome-pytorch-chinese

【干货】史上最全的PyTorch学习资源汇总

awesome-sentiment-analysis

Repository with all what is necessary for sentiment analysis and related areas

bdci-2018-supply-chain-demand-forecast

初赛Rank1 复赛Rank1 2018 CCF 大数据与计算智能大赛 供应链需求预测 Miracccccccle

bdci_car_2018

BDCI 2018 汽车行业用户观点主题及情感识别 决赛一等奖方案

bert

TensorFlow code and pre-trained models for BERT

bert-ner

Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.

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