pablodecm/datalab_ml_iot

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Updated 8 months ago

pablodecm/datalab_ml_iot

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Materials for "Practical Data Science for IoT" datalab for the Master of Data Science (UC-UIMP-CSIC)

kernelflow

Experimenting with kernel density estimation and (soft) histograms using tensorflow data flow graphs.

cartographer

Flexible, extensible and fully scikit-compatible Mapper/TDA algorithm implementation

paper-inferno

Code and manuscript for the paper "INFERNO: Inference-Aware Neural Optimisation". Automated mirror from CERN GitLab.

tensorflow_inference

Playground to check the viability of using a autodiff framework such as TensorFlow to do HEP-like inference

Jupyter Notebook

ising_model

2D simulation of the Ising model using Metropolis algorithm. Exercise for "Dynamical and Extended Systems" course @ University of Cantabria (in Spanish). C++11 implementation interfaced with Python using Cython libraries.

density_estimation

Playground for nonparametric density estimation methods, course project for Physics PhD course on Statistics and Data Analysis @ University of Padova

Jupyter Notebook

GitHub-ViewAllComments

A browser UserScript that loads all Pull Request and Issue comments at once

pajaros

Animal sound recognition project for High Performance Computing course @ University of Cantabria

SepFuentes

Image processing PCA and ICA IPython Notebook. Homework of my Master's studies at University of Cantabria (in Spanish). Experimenting with nbconvert templates and IPython Notebook citations.

NRmin-fortran

Newton-Raphson minimization for non-linear fitting. Also includes bias and error estimation using simple Toy MC. Fortran project from programming course @ University of Cantabria