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ai-roadmap

ApacheCN AI 路线图（知识树）

alink

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

bert

TensorFlow code and pre-trained models for BERT

blog-spark-food-recommendation

Simple example on how to use recommenders in Spark / MLlib

competition-baseline

数据科学竞赛各种baseline代码、思路分享

credit-card-score

基于Python的申请信用评分卡模型分析

creditriskcscorecard

credit risk score card develop by python(version 3.6)

criteodisplayctr-tfonspark

data_structure_with_python

这是我在学习《基于Python的数据结构》的时候的笔记与代码

deep-ctr-prediction

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deepgraph

Analyze Data with Pandas-based Networks. Documentation:

deeplearning

Deep Learning (Python, C, C++, Java, Scala, Go)

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deepseq

Deep evaluation of data structures

docker-spark-hive-ipython

Spark + Jupyer + Hive

e-commerce-product-recommendation-model

Developed an ML model to recommend similar apparel products in e-commerce using product description and images. The model can be used by e-commerce companies to suggest similar products to users and therefore improving their online shopping experience. Outcome : Visual features based product similarity model gave brilliant product recommendation. This result outperforms the result of all other models (Bag of Words based similarity, TF-IDF based model, IDF based model, TF-IDF weighted Word2Vec model, IDF weighted Word2Vec model)

elasticsearch-java-client-api

Elasticsearch的java客户端使用示例

familia

A Toolkit for Industrial Topic Modeling

flink_learning_and_project

flink学习资料以及项目

fucking-algorithm

手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

gbdt_simple_tutorial

python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision

hello_world

hello_world-1

博客文章开源代码分享区

jieba

结巴中文分词

keras

Deep Learning for humans

kg-beijing

北京知识图谱学习小组

learning

all learning materials

learningpyspark

Code base for the Learning PySpark book (in preparation)