dribbleanalytics Goto Github PK
Name: tal boger
Type: User
Bio: tal boger - yale '23 | founder of dribble analytics
Name: tal boger
Type: User
Bio: tal boger - yale '23 | founder of dribble analytics
Predicting aspects of the 2019 draft with machine learning
Determining the 2010s NBA All-Decade team with machine learning
Using machine learning to find the best and worst value contracts
Introducing a holistic and transparent defensive metric
Using machine learning to predict the best defenders in the 2018 draft.
Using machine learning to predict the best distributors in the 2018 draft.
Using machine learning to predict the top shooters in the 2018 draft.
Using machine learning to predict hall of famers and all stars from the 2017 draft class
Finding the least and most deserving MVPs of the past decade
Introducing LEBRON: Longevity Estimate Based on Recurrent Optimized Network
Using machine learning to predict the All-NBA teams
Using machine learning to predict the MVP
Using k-means clustering to group NBA players by role
Visualizing how much NBA stars would make without max contracts
Analyzing the viability of tanking with Markov chains
Estimating team win probability given player stats
Introducing a new way to define player uniqueness
Finding whether wingspan or height is a better predictor of NBA defense.
Generating fake Woj and Shams tweets with AI
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.