AllenMLTsai's repositories
WLEPredictionModel
Weight Lifting Exercise Prediction Model
apiai-nodejs-client
Node.js SDK for Api.ai
cs231n.github.io
Public facing notes page
dotnet-docs-samples
.NET code samples used on https://cloud.google.com
dsc-crawling
Python crawling tutorial for dsc course
ExData_Plotting2
Exploratory Data Analysis: Course Project 2
experiments
Some research experiments
Getting-Started-with-TensorFlow
Getting Started with TensorFlow, published by Packt
investment-advisor
The Investment Advisor Demo combines IBM Watson Personality Insights and IBM Watson Tradeoff Analytics services to recommend suitable funds and agents for clients. Fund recommendation is based on client's personality and risk profile. Studies have indicated that risk preference of an individual is correlated to some personality attributes such as Cautiousness and Stability. Each fund, based on it's risk score is assigned a personality portrait. Investment Advisor recommends funds which have similar personality portrait to client's personality.
java-example-fraud-score-basics
Basic use of DeployR as a real-time, R analytics scoring engine.
jieba
结巴中文分词
keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.
LearnAnalytics-SQLServerRServices
A one day instructor-led course showcasing the SQL Server R Services architecture and best practices.
mnist-tensorboard-embeddings
Initial commit. Tensorboard running with embeddings to utilise t-SNE
node-red
A visual tool for wiring the Internet of Things
node-red-labs
Node-RED labs on the use of the Watson Developer Cloud services
node-red-nodes
Extra nodes for Node-RED
RepData_PeerAssessment1
Peer Assessment 1 for Reproducible Research
TC-Bot
User Simulation for Task-Completion Dialogues
tensorflow
Computation using data flow graphs for scalable machine learning
tensorflow-mnist-tutorial
Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.
tf-stanford-tutorials
This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.
xts
Extensible time series class that provides uniform handling of many R time series classes by extending zoo.