Lynnhom Xue's repositories
blockchain
Blockchain course
camunda-engine-dmn
Lightweight Execution Engine for DMN (Decision Model and Notation) written in Java.
cn-deep-learning
https://cn.udacity.com/course/deep-learning-nanodegree-foundation--nd101/
code
ActiveState Code Recipes
easy-rules
The simple, stupid rules engine for Java
egads
A Java package to automatically detect anomalies in large scale time-series data
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
How-to-Predict-Stock-Prices-Easily-Demo
How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube
interview-assignments
The monorepo for interview take home assignments.
jpmml-evaluator
Java Evaluator API for PMML
jpmml-model
Java Class Model API for PMML
kaggle
kaggle
metabase
The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
mindpark
Testbed for deep reinforcement learning
pdf.js
PDF Reader in JavaScript
pmmlParser
JPMML解析pmml 模型的例子
presto
The official home of the Presto distributed SQL query engine for big data
python-guide
Python best practices guidebook, written for humans.
python-scraping
Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do
quandl4j
Java wrapper for Quandl REST API
react-datasheet
Excel-like data grid (table) component for React
rulebook
100% Java, Lambda Enabled, Lightweight Rules Engine with a Simple and Intuitive DSL
sftpserver
SFTP Server (SSH File Transfer Protocol) in Java, based on Apache MINA SSHD
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.
superset
Apache Superset is a Data Visualization and Data Exploration Platform