Pablo de Castro

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.

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

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

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.

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.

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

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

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