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A fast CSV command line toolkit written in Rust.

Rust 10,759 331 Updated Apr 24, 2025

Efficiently computes derivatives of NumPy code.

Python 7,449 935 Updated Feb 1, 2026

Matlab code of machine learning algorithms in book PRML

MATLAB 6,200 2,147 Updated Mar 4, 2020

Acceptance rates for the major AI conferences

Jupyter Notebook 4,729 316 Updated Sep 23, 2025

COVID-19 Italia - Monitoraggio situazione

3,816 2,195 Updated Jan 10, 2025

A Repository for Single- and Multi-modal Speaker Verification, Speaker Recognition and Speaker Diarization

Python 2,764 244 Updated Dec 8, 2025

A collection of work related to COVID-19

Jupyter Notebook 1,365 427 Updated Sep 22, 2020

for Data Science class on Coursera

540 155 Updated Nov 26, 2019

My own notes, implementations, and musings for MIT's graduate course in machine learning, 6.867

349 146 Updated Mar 14, 2024

A collection of visual guides to help applied scientists learn causal inference.

295 26 Updated Sep 12, 2022

MrBayes is a program for Bayesian inference and model choice across a wide range of phylogenetic and evolutionary models. For documentation and downloading the program, please see the home page:

C 257 85 Updated Jan 9, 2026

Cell type specific enhancer-gene predictions using ABC model (Fulco, Nasser et al, Nature Genetics 2019)

Python 246 74 Updated Jan 31, 2026

Minimal tutorial on making a simple website with GitHub Pages

Ruby 205 413 Updated Dec 26, 2023

Scripts to build an **unofficial** Rtools-esq installer for the macOS R toolchain

Shell 168 5 Updated Feb 24, 2023

Rare variant test software for next generation sequencing data

C++ 141 43 Updated Jan 26, 2022

Public Available Code and Data to Reproduce Analyses in "Air pollution and COVID-19 mortality in the United States: Strengths and limitations of an ecological regression analysis."

R 105 56 Updated Nov 11, 2023

An R package for performing STAAR procedure in whole-genome sequencing studies

C++ 97 47 Updated Feb 9, 2025

💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatments from observational data using neural networks.

Python 94 14 Updated Mar 24, 2023

Reinforcement Learning Short Course

Jupyter Notebook 89 19 Updated Aug 22, 2025

[GitHub-only] R package that downloads and setups a compiled code environment for macOS

R 65 4 Updated Oct 11, 2025

Karl Broman's website

HTML 58 106 Updated Feb 4, 2026

Visualisation of official UK COVID-19 data

R 58 5 Updated Jun 23, 2020

Data management of large-scale whole-genome sequence variant calls using GDS files (Development version only)

C++ 46 12 Updated Jan 27, 2026

Home work in python using cvxpy to Stephen Boyd's Convex Optimization class (CVX101 Stanford)

Jupyter Notebook 45 9 Updated Mar 28, 2023

Generalized linear Mixed Model Association Tests

C 44 24 Updated Nov 21, 2025

Estimate local SNP heritability and genetic covariance from GWAS summary association statistics.

HTML 42 10 Updated May 2, 2018

Using various CNN techniques on the MNIST dataset

Jupyter Notebook 42 45 Updated Jun 27, 2017
R 37 7 Updated Jul 4, 2021

R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects using observational data in settings with continuous exposu…

R 34 18 Updated Feb 21, 2025

R Interface to CoreArray Genomic Data Structure (GDS) Files (Development version only)

C 20 4 Updated Dec 17, 2025
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