miguel-o-matic Goto Github PK
Name: Miguel Oyarzun
Type: User
Company: Azure Summit Technology
Location: Fairfax, VA, USA
Miguel Oyarzun's Projects
bayesian-analysis-with-python-second-edition
Bayesian Analysis with Python - Second Edition, published by Packt
check-pueyos-projection
Will Tomas Pueyo's model prediction come true?
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
gnss-matlab
Matlab codes to generate GNSS PRNs, secondary codes, dataless signals and spectra. Includes real data captures and a theory summary. GPS (L1CA, L2C, L5), Gaileo (E1OS, E5), BeiDou-2 (B1I)
gps-helper
Tools and examples for GPS
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
handson-unsupervised-learning
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
kalman-and-bayesian-filters-in-python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
kalman-filter-for-beginners
Sample code in MATLAB/Octave for "Kalman Filter for Beginners"
mathworks_tools
Scripts and tools created by ADI to be used with MATLAB and Simulink with ADI products
probabilistic-programming-and-bayesian-methods-for-hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
pymc3
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
pythondatasciencehandbook
Python Data Science Handbook: full text in Jupyter Notebooks
thinkstats2
Text and supporting code for Think Stats, 2nd Edition
whilemymcmcgentlysamples
my blog
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