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Pablo de Castro

Expert
@pablodecm

Currently @ awen . Previously Product & Engineering @ Reforestum. ML and Computer Vision @ Tree Technology. Physics and ML PhD @ UNIPD/INFN/CERN.

pablodecm.com

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

10

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

10

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

5

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

5

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

3

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.

2

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.

2

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

2

GitHub-ViewAllComments. A browser UserScript that loads all Pull Request and Issue comments at once

1

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

1

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

1