Arman K Nejad (Armankhod)

Armankhod

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Location:Houston

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Arman K Nejad's repositories

bokeh

Interactive Data Visualization in the browser, from Python

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Capstone_Project

The final project for IBM Certificate

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covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

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d2l-en

Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.

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d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

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dash

Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.

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data-science-ipython-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.

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deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

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deep-residual-networks

Deep Residual Learning for Image Recognition

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deno

A secure JavaScript and TypeScript runtime

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fma

FMA: A Dataset For Music Analysis

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github-example

The first example on how to properly set up github repository.

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gym

A toolkit for developing and comparing reinforcement learning algorithms.

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interactive-coding-challenges

120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

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keras-nlp

Industry-strength Natural Language Processing workflows with Keras

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Keras-OpenFace

Keras-OpenFace is a project converting OpenFace from Torch implementation to a Keras version

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machine-learning-engineering-for-production-public

Public repo for DeepLearning.AI MLEP Specialization

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PythonDataScienceHandbook

https://github.com/jakevdp/PythonDataScienceHandbook.git

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res-eng-mat-bal

Open Source library for Reservoir Engineering Material Balance

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roboschool

DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gym.

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TorontoNeighborhood

Solution to the Coursera Assignment

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