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aas229_workshop

Using Python for Astronomical Data Analysis in the Era of JWST (Winter AAS 2017)

aiception-python-client

Python client for AIception deep learning platform

aima-data

Data files to accompany the algorithms from Norvig And Russell's "Artificial Intelligence - A Modern Approach"

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

alexnet-experiments-keras

Code examples for training AlexNet using Keras and Theano

analysis-of-criminal-activities-in-us

andengine

Free Android 2D OpenGL Game Engine

applied-deep-learning-with-keras

Deep Learning examples with Keras.

applied-machine-learning-in-python

Solutions to the 'Applied Machine Learning In Python' Coursera course exercises

applied-text-mining-in-python

Course - 4; Specialization: Applied Data Science with Python; University Of Michigan

applied-text-mining-python-michigan

Applied Text Mining from University of Michigan in Coursera

appliedtextmining

Assignment work done for Applied Text Mining in Python from the University of Michigan through Coursera. Fourth class in the Applied Data Science with Python specialization. This coursework was completed in August 2017. Not every solution is correct (nor the most efficient), but I received an overall grade of 98.4%.

artificial-intelligence

Understanding Artificial Intelligence

artificial-intelligence-1

Artificial Intelligence

artificial-intelligence-a-z

Udemy course on Artificial Intelligence

artificial-intelligence-at-its-zenith

artificial-intelligence-for-robotics

artificial_intelligence

Artificial_Intelligence

astrodata2016

Notebook for Astropy class in April 2016

astronomy-notebooks

iPython Notebooks showing off NumPy, matplotlib, and our universe

astropy4cambridge

Astropy workshop at the University of Cambridge

astropython

Python for Astronomers Advance Course Materials from http://www.astro.up.pt/~sousasag/Python_For_Astronomers/

awesome-rl

Reinforcement learning resources curated

battleship

Python / tensorflow reinforcement learning example -- battleship

bayesian-cognitive-modeling-in-pymc3

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

bengali-handwritten-character-recognition-using-convolutional-neural-networks

Implementation of convolutional neural networks (CNNs) of increasing complexity for classification of handwritten Bengali characters. The deepest network achieves 94.2% accuracy on test data, compared to 85.96% reported on the latest paper using CNNs for Bengali OCR.

big-five-age-and-gender

Analyzing personality traits by age and gender. Something I've always been curious about!

book-socialmediaminingpython

Companion code for the book "Mastering Social Media Mining with Python"

boto3

AWS SDK for Python

british-referendum-2016

Sentimental analysis using twitter to analyze the sentiments of before and after elections.