Zhuangfang Yi 依庄防's Projects
Slides and talk assets from PyCon 2015
Lab for Linear and Logistic Regression, SciKit Learn
Shiny tips & tricks for improving your apps and solving common problems
Detect field boundaries using satellite imagery.
Samples for the ArcGIS Runtime SDK for .NET - Desktop, Store, and Phone
A curated list of awesome Machine Learning frameworks, libraries and software.
Recurrent Neural Network - A curated list of resources dedicated to RNN
List of satellite imagery datasets with annotations for computer vision and deep learning
AWS SDK for Python
Caffe models in TensorFlow
Air quality data (PM2.5) from different sources
One of the most popular starter data sets in data science, the Titanic data set. This is a data set that records various attributes of passengers on the Titanic, including who survived and who didn’t. Here I have detected some missing value, replace the missing values and also create new values added to the dataset. There are two csv files, first one is titanic_original.csv and second one is tatanic_clean.csv. Second csv is generated from the R code, called 'titanic.r' here. Have fun.
Repository for code and notebooks for the a NetworkX Tutorial
fast.ai Courses
Open geospatial work to support health systems' capacity (providers, supplies, ventilators, beds, meds) to effectively care for rapidly growing COVID19 patient needs
Crime analysis in R
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
More a complete blog explain the data and results please see: https://geoyi.org/2016/08/19/data-driven%E2%80%8B-city-planning-using-linear-regress-to-predict-bike-sharing-demands-in-washington-dc-%E6%95%B0%E5%AD%97%E5%8C%96%E5%9F%8E%E5%B8%82%E8%AE%A1%E5%88%92%EF%BC%9A%E5%A4%9A%E5%85%83/
The accompanying files for the book 'Dataviz with Python and JavaScript'
Python code for the DECODE method and mxnet code for Fractal ResUNet
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Implementation of the Semantic Segmentation DeepLab_V3 CNN as described in: https://arxiv.org/pdf/1606.00915.pdf
Source code for blog post: A Practical Introduction to Deep Learning with Caffe and Python
Blog related code for