Mahmoud Zeydabadinezhad (zeydabadi)

zeydabadi

Geek Repo

Company:Emory University

Location:Atlanta, GA

Home Page:https://www.linkedin.com/in/mzeyd/

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NISYSLAB

Mahmoud Zeydabadinezhad's repositories

biosignalsnotebooks

biosignalsnotebooks project includes a set of Jupyter Notebooks explaining some processing tasks which have been specially designed for biosignalsplux and OpenSignals users. A Python package is also present, containing some functions to support biosignalsnotebooks notebooks or to be used independently.

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30-Days-Of-Python

30 days of Python programming challenge is a step by step guide to learn the Python programming language in 30 days. This challenge may take up to 100 days, follow your own pace.

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ABBA

A symbolic time series representation building Brownian bridges

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attn2d

Pervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction

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awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

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aws-machine-learning-university-accelerated-cv

Machine Learning University: Accelerated Computer Vision Class

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aws-machine-learning-university-accelerated-nlp

Machine Learning University: Accelerated Natural Language Processing Class

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aws-machine-learning-university-accelerated-tab

Machine Learning University: Accelerated Tabular Data Class

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Colab-Hacks

Simple Hacks for Google Colaboratory to boost your productivity and help you to perform daily tasks.

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deep-learning-notes

Experiments with Deep Learning

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dl-visuals

Over 200 figures and diagrams of the most popular deep learning architectures and layers FREE TO USE in your blog posts, slides, presentations, or papers.

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examples

TensorFlow examples

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ganhacks

starter from "How to Train a GAN?" at NIPS2016

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generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

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icebeem

Code for ICE-BeeM paper - NeurIPS 2020

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Kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

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keras-tuner

Hyperparameter tuning for humans

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learn-python

📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.

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learn-python3

Jupyter notebooks for teaching/learning Python 3

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mathematics-roadmap

A Comprehensive Roadmap to Mathematics

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MEDIUM_NoteBook

Repository containing notebooks of my posts on Medium

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mit-15-003-data-science-tools

Study guides for MIT's 15.003 Data Science Tools

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MuseProject

This repository consists of codes that can be used to preprocess data from Muse headband and apply ML models to it to classify data on basis of colours RGB

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PU-OC

This repository accompanies the paper "Improving State-of-the-Art in One-Class Classification by Leveraging Unlabeled Data".

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Python

All Algorithms implemented in Python

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pytorch-ts

Tutorials on using encoder decoder architecture for time series forecasting

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Resources-For-CS-Students

A list of resources such as scholarships, fellowships, and mailing list for helping CS students succeed in their career

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SecretScanner

Find secrets and passwords in container images and file systems

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shap-hypetune

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

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