pablodecm
Currently @ awen . Previously Product & Engineering @ Reforestum. ML and Computer Vision @ Tree Technology. Physics and ML PhD @ UNIPD/INFN/CERN.
Europe
Pinned Repositories
cartographer
Flexible, extensible and fully scikit-compatible Mapper/TDA algorithm implementation
datalab_ml_iot
Materials for "Practical Data Science for IoT" datalab for the Master of Data Science (UC-UIMP-CSIC)
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
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.
kernelflow
Experimenting with kernel density estimation and (soft) histograms using tensorflow data flow graphs.
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
paper-inferno
Code and manuscript for the paper "INFERNO: Inference-Aware Neural Optimisation". Automated mirror from CERN GitLab.
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.
tensorflow_inference
Playground to check the viability of using a autodiff framework such as TensorFlow to do HEP-like inference
pablodecm's Repositories
pablodecm/kernelflow
Experimenting with kernel density estimation and (soft) histograms using tensorflow data flow graphs.
pablodecm/paper-inferno
Code and manuscript for the paper "INFERNO: Inference-Aware Neural Optimisation". Automated mirror from CERN GitLab.
pablodecm/datalab_ml_iot
Materials for "Practical Data Science for IoT" datalab for the Master of Data Science (UC-UIMP-CSIC)
pablodecm/tensorflow_inference
Playground to check the viability of using a autodiff framework such as TensorFlow to do HEP-like inference
pablodecm/GitHub-ViewAllComments
A browser UserScript that loads all Pull Request and Issue comments at once
pablodecm/attila
Pelican version of ghost theme https://github.com/zutrinken/attila
pablodecm/cal.com
Scheduling infrastructure for absolutely everyone.
pablodecm/cmsdist
CMS Offline Software build configuration
pablodecm/cmssw
CMS Offline Software
pablodecm/dldt
OpenVINO™ Toolkit - Deep Learning Deployment Toolkit repository
pablodecm/docker-stacks
Ready-to-run Docker images containing Jupyter applications
pablodecm/FlatironMeeting
Meeting repo for likelihood free inference meeting
pablodecm/kubeflow-containers
Containers to be used with Kubeflow for Data Science
pablodecm/libsvm
Pre-built LibSVM packages for Python.
pablodecm/mmcv
OpenMMLab Computer Vision Foundation
pablodecm/mmdetection
OpenMMLab Detection Toolbox and Benchmark
pablodecm/neyman
A (WIP) statistical inference library which plays well with neural networks and Edward.
pablodecm/osshack
The website and web app for the OSShack hackathon
pablodecm/pablodecm.com
sources for my personal static webpage and blog
pablodecm/pablodecm.github.io
Personal Website
pablodecm/pandoc-nodejs
Docker configuration for images used to build thesis/paper/documentation with Pandoc and node.js, using same LaTeX version than arXiV
pablodecm/phd_thesis
Repository for my PhD Thesis "Statistical Learning and Inference at Particle Collider Experiments" at the University of Padova
pablodecm/phd_thesis_markdown
Template for writing a PhD thesis in Markdown
pablodecm/pyhf
pure-pyton implementation of some (maybe someday all?) HistFactory models
pablodecm/python-computational-tools
Basic educational resources and ready to use environment for a very basic primer in Python and associated computational tools and libraries.
pablodecm/RecoBTag-Combined
RecoBTag-Combined
pablodecm/SystMLXP
Code for experienting systematic aware machine learning
pablodecm/Total3DUnderstanding
Implementation of CVPR'20 Oral: Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image
pablodecm/trackml-library
Utilities for trackML challenge participants, provided by the organizers
pablodecm/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.