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2018-nanjing-ai-application-competition

赛题的解题思路描述和项目源代码

2020_kdd_debiasing_top13

KDD Cup 2020 Challenges for Modern E-Commerce Platform: Debiasing Full榜15 Half榜13

a-b_test

对于是否为Udacity主流程增加筛选器的问题，设计A/B测试、分析其结果，并提供一个高层次的后续实验。

ai-projects

Artificial Intelligence projects, documentation and code.

ali2015

为天池数据竞赛写的自动化特征工程和训练工具，可以通过配置的方式从mysql数据库中生成特征。同时重新封装了数据，特征和模型，使其可以被自动化测试系统识别及调用。待完成的工作：自动化测试系统的调度关键技术。

app-dl

Deep Learning and applications in Startups, CV, Text Mining, NLP

atomic-scala-examples

Examples from the book "Atomic Scala" 2nd Edition by Bruce Eckel & Dianne Marsh

automated-feature-engineering

Automated feature engineering in Python with Featuretools

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

awesome-awesomeness

A curated list of awesome awesomeness

awesome-crawler

A collection of awesome web crawler,spider in different language

awesome-deeplearning-resources

Deep Learning and deep reinforcement learning research papers and some codes

awesome-python

A curated list of awesome Python frameworks, libraries and software

beam

Mirror of Apache Beam

blog

护卫银河

boxscore-data

brickhouse

Hive UDF's for the data warehouse

caser

A Matlab implementation of Convolutional Sequence Embedding Recommendation Model (Caser)

ccf2016_sougou

ccf2016 sougou final winner solution

chinese

chinesernntest

使用deeplearning尝试使用RNN网络学习中文文档并输出结果，使用了deeplearning中的示例修改完成，增加了中文分词并更改了相关输入迭代器。

data2text

deep_generation

deep_ocr

make a better chinese character recognition OCR than tesseract

deepdriver

DeepDriver is a JAVA framework of Deep Learning, it supports ANN/CNN/DNN/RNN/LSTM now, hope it can be widely used for deep learning development.

deeplearningbook-chinese

Deep Learning Book Chinese Translation

django-admin-timeline

A Facebook-like timeline app for Django admin. It's very similar to built-in feature Daily progress, but then has a nicer templates and infinite scroll implemented. Actions are broken up by day, then by action. Filtering by user (multiple select) and content type (multiple select) is implemented.

djl

An Engine-Agnostic Deep Learning Framework in Java

dl-setup

Instructions for setting up the software on your deep learning machine

dl4j-rnn-timeseries-examples

An example of DL4J's Recurrent Neural Networks applied to timeseries data