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Name: Damon
Type: User
Company: The University of Sydney
Location: Hong Kong
Name: Damon
Type: User
Company: The University of Sydney
Location: Hong Kong
Notebooks to introduce and understand 1D-CNNs.
AI学习过程中的实操代码
Storage
R package to accompany Time Series Analysis and Its Applications: With R Examples -and- Time Series: A Data Analysis Approach Using R
My automation setup for all the boring office task
The biggest collection of R books (and maybe later some other resources too)
Cantonese segmentation tool 粵語分詞工具
Citypop 4 life
This is code of book "Learn Deep Learning with PyTorch"
This project is to download and analyze cryptocurrency option data available on Deribit via a public API. Data are collected on an Ubuntu remote server with the implementation of Python3, Shell and SQLite and are then analyzed locally with Python3.
Introduction to Deep Neural Networks with Keras and Tensorflow
深度学习以进行时间序列预测
For Azure ML Deployment Testing
Prototype of connecting Azure Open AI as backend to Dialogflow CX / front end
Machine Learning for Credit Card Fraud Detection - Practical Handbook
source code from the book Genetic Algorithms with Python by Clinton Sheppard
Hands-On Artificial Intelligence for IoT, published by Packt
Hands-On-Time-Series-Analysis-with-R
Create infinite remixes intelligently patching together groups of songs
1st place solution
A Regression Model using Deep Learning Keras Library
Here I go through the processing of prototyping a mean reversion trading strategy using statistical concepts, then test it in backtrader.
Multivariate LSTM Fully Convolutional Networks for Time Series Classification
Various multivariate, multistep LSTM models using SPX options data to forecast the CBOE VIX to improve future market volatility forecasts. Monte Carlo simulation and Facebook Prophet forecasts included for comparison.
A dataset of movie plot synopses with story related tags
Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
Kaggle Toxic Comments Challenge
Binary classification of multivariate time series data using LSTM and XGBoost
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.