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Hey, I'm Nima

I'm a research data scientist with extensive experience in programming, statistics, signal processing and modelling.
I'm highly interested in using machine learning- and deep learning-powered models for actionable insights.
I mainly write codes using Python, PyTorch and Bash, and currently learning Julia.

Here is some of the stuff I enjoy doing:

  • Data modelling by inversion
  • Data visualization
  • Exploratory data analysis

🔗 I'm also on:

Nima Nooshiri's Projects

aeon icon aeon

A toolkit for conducting machine learning tasks with time series data

eadet-convnet icon eadet-convnet

A Convolutional Neural Network (ConvNet) for earthquake detection in DAS fibre-optic data using PyTorch

guts icon guts

Lightweight declarative YAML and XML data binding for Python

peer-review icon peer-review

A template for peer review of scientific publications

peiplib icon peiplib

Parameter Estimation and Inverse Problems - library and examples

pyrocko icon pyrocko

An official read-only mirror of https://git.pyrocko.org/pyrocko/pyrocko. A seismology toolkit for Python.

pyttimes icon pyttimes

Python wrapper to create seismic travel-time lookup-tables and/or NonLinLoc binary grid files through 1-D layered velocity models

reprodl2021 icon reprodl2021

Host repository for the "Reproducible Deep Learning" PhD course

scoter icon scoter

Multiple-earthquake localization by using static and source-specific station correction terms

zclust icon zclust

Unsupervised Deep Embedded Clustering of Seismic Signals with Convolutional Autoencoder

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