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Hey 👋 I'm John.🐺

I am a B.A. candidate in Statistics (Quant Finance Track) at Harvard College. I enjoy consumer-facing products with a specialization in healthcare and education. I have interned / will intern at tech and financial companies, serving as a Software Engineering Fellow for Bessemer Venture Partners and Product Manager Intern at StubHub.

🤝 Connect with me:

John Rho | LinkedIn John Rho | Medium

John Rho's Projects

am50-final icon am50-final

Simulating Premier League seasons using random walks

asteroid icon asteroid

The PyTorch-based audio source separation toolkit for researchers

crypto-signal icon crypto-signal

Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks

ivy icon ivy

The Unified Machine Learning Framework

open-react-template icon open-react-template

A free React landing page template designed to showcase open source projects, SaaS products, online services, and more. Made by

rlc icon rlc

A collection of Reinforcement Learning Chess Algorithms

surfa-club icon surfa-club

A couch surfing platform that builds communities

svoice icon svoice

We provide a PyTorch implementation of the paper Voice Separation with an Unknown Number of Multiple Speakers In which, we present a new method for separating a mixed audio sequence, in which multiple voices speak simultaneously. The new method employs gated neural networks that are trained to separate the voices at multiple processing steps, while maintaining the speaker in each output channel fixed. A different model is trained for every number of possible speakers, and the model with the largest number of speakers is employed to select the actual number of speakers in a given sample. Our method greatly outperforms the current state of the art, which, as we show, is not competitive for more than two speakers.

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