jealcalat
Interests in mathematical and computational modelling in psychology. Open science enthusiast and free knowledge advocate.
Guadalajara, Jal, Mx
Pinned Repositories
AEM-ITESO
Repositorio de análisis estadístico multivariado para la Maestría en Ciencia de Datos de ITESO
alsim
An associative learning simulator
Analisis_multivariado-deprecated-
Análisis multivariado (MCD ITESO)
awesome
😎 Awesome lists about all kinds of interesting topics
B-SOID
Behavioral segmentation of open field in DeepLabCut, or B-SOID ("B-side"), is a pipeline that pairs unsupervised pattern recognition with supervised classification to achieve fast predictions of behaviors that are not predefined by users.
hierarchical_control_operant
Function to simulate a hierarchical control in operant conditioning, to appear in Sosa & Alcalá, 2021
IDI_III_profe
Med2csv
Python function to convert Med raw files to csv
rstudio_themes
A list of curated RStudio themes, mostly modified versions from http://tmtheme-editor.herokuapp.com/
thesis_repo
Some R and Python scripts used in my PhD Thesis
jealcalat's Repositories
jealcalat/alsim
An associative learning simulator
jealcalat/bayesian_changepoint_detection
Methods to get the probability of a changepoint in a time series.
jealcalat/BayesLMMTutorial
Tutorial files to accompany Sorensen, Hohenstein, and Vasishth paper: http://www.ling.uni-potsdam.de/~vasishth/statistics/BayesLMMs.html
jealcalat/bcpa
:exclamation: This is a read-only mirror of the CRAN R package repository. bcpa — Behavioral change point analysis of animal movement
jealcalat/bocd
Bayesian Online Changepoint Detection
jealcalat/Change_Point
Change Point Algorithm from Randy Gallistel rewritten in R
jealcalat/Changepoint-1
Bayesian change-point detection
jealcalat/Changepoints
Bayesian online change point detection
jealcalat/Computational-statistics-with-Python
Resources for STA 633 class
jealcalat/Coursera-Machine-Learning
Coursera Machine Learning - Python code
jealcalat/DBDA-python
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
jealcalat/Doing_bayesian_data_analysis
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
jealcalat/elegant-scipy
1st Edition of Elegant SciPy (O'Reilly Publishers)
jealcalat/featuredriven-hawkes
Code and Data for CIKM Paper Feature Driven and Point Process Approaches for Popularity Prediction
jealcalat/jupyter-intro-xfel-jan17
Introduction to Jupyter Notebook
jealcalat/LabHacks
Resources for data driven neuroscientists, your contributions are most welcome
jealcalat/LearningX
Deep & Classical Reinforcement Learning + Machine Learning Examples in Python
jealcalat/matplotlib-tutorial
Matplotlib tutorial for beginner
jealcalat/Mult-FI-FI
V3.
jealcalat/pathtrackr
An R package for video tracking and analysing animal movement
jealcalat/pyglmnet
Python implementation of elastic-net regularized generalized linear models
jealcalat/random_code
Random bits of code for my blog
jealcalat/reg-lin-simple
Regresión lineal simple paso a paso (+ código R y LaTeX)
jealcalat/Statistical-Rethinking-with-Python-and-PyMC3
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
jealcalat/styles
Custom themes for base plots
jealcalat/The-Elements-Of-Statistical-Learning
This repository contains R code for exercices and plots in the famous book.
jealcalat/the-elements-of-statistical-learning-notebooks
Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman
jealcalat/tkn
Terminal Keynote - A hack for terminal-based talks
jealcalat/vmd-cvs-github