mvsantosdev Goto Github PK

followers: 16.0 following: 31.0 repos: 30.0 gists: 6.0

Name: Marcelo V. dos Santos, PhD

Type: User

Hi Folks!

Welcome to my github repositories. Here you can find my data science portifolio, lecture notes, and projects.

Data Science Portifolio:
- MyAnimeList recommendation system: https://github.com/mvsantosdev/anime_recommend
Lecture notes:
- Lectures on scientific computing with Python: https://github.com/mvsantosdev/scientific-python-lectures
- Bayesian methods with Python: https://github.com/mvsantosdev/bayesian-methods-with-python
- Machine Learning, an introduction for Physicists: https://github.com/mvsantosdev/machine-learning-an-introduction-for-physics

Marcelo V. dos Santos, PhD's Projects

anime_recommend

Recomendation system based on myanimelist.net

bingo-hackaton

Instructions to construct a docker image with a lot of tools for modern observational cosmology and a set of lectures.

ccl

DESC Core Cosmology Library: cosmology routines with validated numerical accuracy

deepsphere

A graph-based spherical convolutional neural network (for cosmology)

frblf_erd

A Bayesian framework to measure the event rate density of FRB luminosity function

frbpoppy

Fast Radio Burst Population Synthesis in Python

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hide

A package for simulating of a single dish radio telescope survey

keras-preprocessing

Utilities for working with image data, text data, and sequence data.

machine-learning-an-introduction-for-physics

machine-learning-tutorial

Materials for tutorial on machine learning by Emille Ishida and Alexandre Boucaud

opsimsummary

Package to interact with `LSST` `OpSim` outputs for simulations of Time Domain Astronomy objects.

pantheon

This is all the code and data from the Pantheon analysis https://arxiv.org/abs/1710.00845

Core package to analyze gravitational-wave data, find signals, and study their parameters. This package was used in the first direct detection of gravitational waves (GW150914), and is used in the ongoing analysis of LIGO/Virgo data.