PeriodTracker - Your Personal Health Companion

Laura Symul's personal website

Farid FLICI personal webpage

Applied Demography Toolbox

A web application for predicting the chance of an IVF/ICSI cycle yielding a D5 embryo suitable for transfer or freezing.

A deep learning computer vision model to predict the fertility status of women based on their cervical mucus images.

This WordPress plugin calculates female's period, fertility and shows the next 6 months ovulation dates.

Fertility , Longevity and Economic Growth

This repository contains the code required to perform the data processing and analysis associated with the manuscript submitted to Nature under the name "Maladaptive Genetic Assortment in Humans

Android app that helps women interpret ovulation and pregnancy test strips by quantifying using the phone's camera. Still works on Android 10. Original dev open-sourced because of lack of time to maintain (kudos to them). Mirror of https://gitlab.com/colnix/fta

Visualises access to Assisted Reproductive Technology clinics in Australia, as well as fertility data globally

The Basal Body Temperature (BBT) Tracker is designed to help individuals monitor and analyze their daily basal body temperatures throughout their menstrual cycle. By tracking these temperatures over time, users can gain insights into their fertility patterns and menstrual health.

Open Fertility is an open-source project dedicated to advancing fertility analysis and prediction through machine learning.

R code to reproduce models testing for cross-national human fertility patterns relative to underlying drivers

Code for the paper "Human capital mediates natural selection in contemporary humans"

Eddie's Brass Relational Gompertz Fertility Model Code

The use of machine learning on the Fertility and Women's Labor Supply data set to predict whether someone will want more kids based on their age, ethinicity, work hours, and gender of their 1st child?

👶 Has COVID-19 made us not want to have children? - analysis of birth rate determinants

Machine learning in python case study to predict fertility (from the UCI database) and optimize cost function/threshold using cross validation