Pinned Repositories
3d-pose-baseline
A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.
aas
Code to accompany Advanced Analytics with Spark from O'Reilly Media
advanced-java
😮 互联网 Java 工程师进阶知识完全扫盲：涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识，后端同学必看，前端同学也可学习
aiexamples
some examples of AI
Alink
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
analytics
anti-spoofing-keras
bigdata-aiops
bitcoin-anomaly-detection
Using autoencoder and LSTM neural networks to identify anomalies in bitcoin trading
scala-opentsdb
lihaolixuewei112612's Repositories
lihaolixuewei112612/bigdata-aiops
lihaolixuewei112612/scala-opentsdb
lihaolixuewei112612/analytics
lihaolixuewei112612/data
lihaolixuewei112612/deep-finance
Deep Learning for Finance
lihaolixuewei112612/DEMO
lihaolixuewei112612/demo_dtc
lihaolixuewei112612/examples-of-web-crawlers
一些非常有趣的python爬虫例子,对新手比较友好,主要爬取淘宝、天猫、微信、微信读书、豆瓣、QQ等网站。(Some interesting examples of python crawlers that are friendly to beginners. )
lihaolixuewei112612/FinNLP-Progress
NLP progress in Fintech. A repository to track the progress in Natural Language Processing (NLP) related to the domain of Finance, including the datasets, papers, and current state-of-the-art results for the most popular tasks.
lihaolixuewei112612/flink-recommandSystem-demo
:helicopter::rocket:基于Flink实现的商品实时推荐系统。flink统计商品热度，放入redis缓存，分析日志信息，将画像标签和实时记录放入Hbase。在用户发起推荐请求后，根据用户画像重排序热度榜，并结合协同过滤和标签两个推荐模块为新生成的榜单的每一个产品添加关联产品，最后返回新的用户列表。
lihaolixuewei112612/flume-ng-sql-source
Flume Source to import data from SQL Databases
lihaolixuewei112612/Handwritten-Digit-Recognition-using-Deep-Learning
Handwritten Digit Recognition using Machine Learning and Deep Learning
lihaolixuewei112612/houduan
lihaolixuewei112612/jiutian_worker
lihaolixuewei112612/machinelearninginaction
lihaolixuewei112612/PGPortfolio
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
lihaolixuewei112612/play_hd
lihaolixuewei112612/play_qd
lihaolixuewei112612/python
lihaolixuewei112612/qianduan
lihaolixuewei112612/Recommend-System
深度学习与推荐系统学习，理论结合代码更香。
lihaolixuewei112612/scrapy_master
lihaolixuewei112612/SourceCodeOfBook
《Python爬虫开发 从入门到实战》配套源代码。
lihaolixuewei112612/springboot
lihaolixuewei112612/ssemdgw
上交所MDGW行情接入
lihaolixuewei112612/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
lihaolixuewei112612/test
lihaolixuewei112612/websocket
lihaolixuewei112612/wj_hd
lihaolixuewei112612/wj_qd