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Favorite Technologies To Work With

  • Python
  • Tensorflow
  • Pytorch
  • Golang
  • Rust
  • Polyaxon

Zeyad Deeb's Projects

2014 icon 2014

Official content for the Fall 2014 Harvard CS109 Data Science course

absimulation icon absimulation

Understanding A/B testing through Monte Carlo simulation

abydos icon abydos

Abydos NLP/IR library for Python

airbyte icon airbyte

Airbyte is an open-source EL(T) platform that helps you replicate your data in your warehouses, lakes and databases.

aws-sdk-arduino icon aws-sdk-arduino

An experimental SDK for working with AWS Services on Arduino-compatible devices. Currently has support for DynamoDB and Kinesis.

branca icon branca

This library is a spinoff from folium, that would host the non-map-specific features.

censys icon censys

R interface to the Censys "cyber"/scans search engine • https://www.censys.io/tutorial

charts icon charts

Curated applications for Kubernetes

conda icon conda

Cross-platform, Python-agnostic binary package manager

data-science-ipython-notebooks icon data-science-ipython-notebooks

Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines. https://bit.ly/data-notes

datascience-fall14 icon datascience-fall14

Repository for UMD CS Course: Introduction to Data Science I: Preparing, Storing, and Manipulating Data

datatalks icon datatalks

Public Machine Learning and Data Competition Repo

docker icon docker

Docker - the open-source application container engine

external-dns icon external-dns

Configure external DNS servers (AWS Route53, Google CloudDNS and others) for Kubernetes Ingresses and Services

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