GithubHelp home page GithubHelp logo

Hi, I'm Emir Ceyani, an aspiring machine learning researcher and a PhD student from Los Angeles, CA πŸ‡ΊπŸ‡Έ.

Twitter

I am a Ph.D. student interested in deep learning , machine learning theory, federated learning, and Bayesian neural networks under the leadership of Prof. Salman Avestimehr at University of Southern California(USC). I also am an active contributor to FedML library. During my M.Sc. at Bilkent University, I was a research engineer at Turkcell Technologies, Istanbul,πŸ‡ΉπŸ‡·.

My main expertise has revolved around :

  1. Federated learning
  2. Graph neural networks
  3. Bayesian deep learning
  4. Probabilistic deep generative models(VAE, NF,...) & variational inference methods
  5. Spatio-temporal forecasting with deep learning
  • πŸ‘¨πŸ½β€πŸ’» I’m currently working on my PhD on federated machine/deep learning ;
  • 🌱 I’m currently learning meta learning, Bayesian non-parametrics, neural architecture search, and personalisation algortihms;
  • πŸ‘― I’m looking to collaborate on research ideas 🀝 and I am always looking for research internships;
  • πŸ“« How to reach me: [email protected];

Languages and Tools:

Emir's github stats



Emir Ceyani's Projects

awesome-mlss icon awesome-mlss

List of summer schools in machine learning + related fields across the globe

cv icon cv

My YAML cv and resume, adopted from @bamos' own repository.

fedgraphnn icon fedgraphnn

A Research-oriented Federated Learning Library and benchmark Platform for Graph Neural Networks.

fedml icon fedml

FedML - The federated learning and analytics library enabling secure and collaborative machine learning on decentralized data anywhere at any scale. Supporting large-scale cross-silo federated learning, cross-device federated learning on smartphones/IoTs, and research simulation. MLOps and App Marketplace are also enabled (https://open.fedml.ai).

flower icon flower

Flower - A Friendly Federated Learning Framework

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

mxnet-the-straight-dope icon mxnet-the-straight-dope

An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.

optax icon optax

Optax is a gradient processing and optimization library for JAX.

pyboy icon pyboy

Game Boy emulator written in Python

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

spreadgnn icon spreadgnn

SpreadGNN: Serverless Multi-Task Learning Framework for Graph Neural Networks. Accepted to AAAI22.

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    πŸ–– 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. πŸ“ŠπŸ“ˆπŸŽ‰

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.