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Amjad Abu-Rmileh's Projects

artificial-intelligence-deep-learning-machine-learning-tutorials icon artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

aspmi icon aspmi

EE4-13 Adaptive Signal Processing and Machine Intelligence (2017-2018) Coursework

awesome-courses icon awesome-courses

:books: List of awesome university courses for learning Computer Science!

awesome-deepneuroimage icon awesome-deepneuroimage

A curated list of awesome deep learning applications in the field of neurological image analysis

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-rnn icon awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

bandits icon bandits

Python library for Multi-Armed Bandits

blog icon blog

Contain all the stuff in my blog

bulbea icon bulbea

Deep Learning based Python Library for Stock Market Prediction and Modelling

charity_donors icon charity_donors

In this project i used many supervised learning algorithms available in scikit-learn, and also provided a method of evaluating, just how each model works and performs on a certain type of data.

computer-vision icon computer-vision

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

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

Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

dataexploration icon dataexploration

Supporting code for a video series on best practices for exploratory data analysis.

datalearn-ml-intro-2019 icon datalearn-ml-intro-2019

The repository of the hands-on introduction to machine learning workshop of the DataLearn 2019 track at DataHack 2019.

datasciencecourse icon datasciencecourse

This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.

deep-learning-book icon deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

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