communities_and_crime

Deep-Learning approach for generating Fair and Accurate Input Representation for crime rate estimation in continuous protected attributes and continuous targets.

mit

View on GitHub

0 Stars

2 Forks

0 Watchers

Jupyter Notebook Language

Cost to Build

$98.7K

Market Value

$18.6K

How is this calculated?

Growth over time

6 data points · 2021-08-01 → 2023-06-01

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about communities_and_crime

Question copied to clipboard

What is the heyaudace/communities_and_crime GitHub project? Description: "Deep-Learning approach for generating Fair and Accurate Input Representation for crime rate estimation in continuous protected attributes and continuous targets.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone communities_and_crime

Clone via HTTPS

git clone https://github.com/heyaudace/communities_and_crime.git

Clone via SSH

[email protected]:heyaudace/communities_and_crime.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the communities_and_crime issue tracker:

Open GitHub Issues

Similar to communities_and_crime

node Rocket.Chat uppy Nancy SwifterSwift primeng nodegit mit-deep-learning-book-pdf react-native-wechat ifvisible.js colmena panel cloudcmd tus-resumable-upload-protocol Rocket.Chat.Electron modeldb cc citgm NetworkLayerExample OpenTESArena node-rsync LeopotamGroupLibraryUnity Chariot prettyconf uppy-server szl node-lifx tabler-angular Myra edX-6.00.1x-Introduction-to-Computer-Science-and-Programming