aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Interface to use R from Python

R code to parse the ClinicalTrials.gov database compiled by AACT

R code to parse AACT database evaluating landscape of clinical trials

🌐 Jekyll is a blog-aware static site generator in Ruby

A value investing tool based on Warren Buffett, Joseph Piotroski and Benjamin Graham thoughts

EMBL GEMs: A collection of GEnome-scale Models for bacterial species

Data for analysis of the MoTrPAC endurance exercise training study in 6-month-old rats

A Python Package for Mendelian Randomization Analysis

COBRApy is a package for constraint-based modeling of metabolic networks.

The generic genome-scale metabolic model of Homo sapiens

Models and scripts for simulations of ATP production in muscle, the repo contains: A) A small scale enzyme constrained stoichiometric model of metabolism of the single muscle fiber B) A whole body …

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Analysis of Crossfit Opens athletes 2020 with Streamlit 🎨

Exploratory data analysis of the CrossFit 2015 Leaderboard.

Downloading, analyzing and visualizing CrossFit data

Applied mathematics problems with Open Source Software: Operational Research with Python and R.

Machine-learning based pipeline relying on LambdaMART currently used in PubMed for relevance (Best Match) searches

PyCX is a Python-based sample code repository for complex systems research and education.

In-Silico Modeling of Metabolic Heterogeneity using Single-Cell Transcriptomes

Statistical data visualization in Python

PyTorch implementation of AnimeGANv2

Gibbs energy from isotope tracing