Coder Social home page Coder Social logo

unique-divine / gans-for-genomics Goto Github PK

View Code? Open in Web Editor NEW
3.0 3.0 1.0 131.62 MB

Research into the viability of leveraging deep learning to successfully generate synthetic biological samples and identify predictive genetic variants.

Home Page: https://unique-divine.github.io/projects/gans-for-genomics/

License: MIT License

Jupyter Notebook 95.10% Python 4.90%
computational-genomics generative-adversarial-network columbia-university neural-networks bioinformatics gans pytorch pytorch-implementation

gans-for-genomics's Introduction

Personal Website LinkedIn Twitter

§1 — Summary

I'm a programmer that makes music. I'm obsessed with learning, solving problems, and creating, whether this involves music, artwork, or software applications. For work, I build Nibiru Chain, a breakthrough smart contract ecosystem in the blockchain space.

§2 — Some Open-source Projects

Repository Description
💻 grid-world-plus A research project in vision-based, deep reinforcement learning. The goal of this project was to improve sample efficiency to interpret memories using transfer learning, unsupervised representation learning, and attention mechanisms.
🐍 python-crypto-api-wrappers A Python package for wrapping common Crypto APIs like Messari, Coin Market Cap, Etherscan, etc.
NibiruChain/ts-sdk A TypeScript-based client SDK for interacting with the Nibiru blockchain. Published as @nibiruchain/nibijs on npm.
📝 Commonplace book Notes, tutorials, and reference materials for Python, Golang and the Cosmos SDK, Typescript, React, Artificial Intelligence, and effective learning.
cellar-subgraphs Subgraphs to process and store entities for blockchain events emitted from the Sommelier Cellar contracts. Built using The Graph's AssemblyScript library, graph-ts.
🧬 GANs-for-Genomics Computational genomics research where I leveraged deep learning to generate and learn from synthetic DNA samples.
🏫 Langevin-Dynamics-for-NN-Optimization Bayesian Neural Network (BNN) implementations based on Langevin Dynamics and tested on real-world data

§3 — Other Passions and Interests

  • 🎼 Music: I try not to go a day without practicing 🎷 or 🎹.
  • 🧠 Anki: I'm a huge nerd about spaced repetition software and other strategies for accelerated learning. I've been using Anki to learn faster and remember more of what I learn for probably 5+ years at this point. Although I have over 100,000 mature cards, the reviews take up less than 10 minutes a day when I stop adding new material. Using Anki effectively was a crucial element in my journey to learn Japanese to fluency.

"And if there is no God
I'll know the day I die I lived through heaven
And that I gave it hell
And if it hurt, oh well
At least that's living..." - Eden.

gans-for-genomics's People

Contributors

unique-divine avatar

Stargazers

 avatar  avatar  avatar

Watchers

 avatar  avatar  avatar

Forkers

ustchope

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.