Marc-André Legault (legaultmarc)

legaultmarc

Geek Repo

Company:Mila / McGill

Location:Montréal

Home Page:http://www.marclegault.com/

Twitter:@legaultmarc

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pgxcentre

Marc-André Legault's starred repositories

manim

Animation engine for explanatory math videos

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dbeaver

Free universal database tool and SQL client

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restic

Fast, secure, efficient backup program

Language:GoLicense:BSD-2-ClauseStargazers:25089Issues:242Issues:2577

cookiecutter

A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.

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ml-stable-diffusion

Stable Diffusion with Core ML on Apple Silicon

Language:PythonLicense:MITStargazers:16493Issues:142Issues:236

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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The-Art-of-Linear-Algebra

Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

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dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:10425Issues:428Issues:165

FriendsDontLetFriends

Friends don't let friends make certain types of data visualization - What are they and why are they bad.

annotated_latex_equations

Examples of how to create colorful, annotated equations in Latex using Tikz.

Language:TeXLicense:MITStargazers:3733Issues:37Issues:3

DomainBed

DomainBed is a suite to test domain generalization algorithms

Language:PythonLicense:MITStargazers:1351Issues:31Issues:102

pycox

Survival analysis with PyTorch

Language:PythonLicense:BSD-2-ClauseStargazers:786Issues:15Issues:134

sbi

Simulation-based inference toolkit

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CPA

The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of drugs, learns interpretable embeddings, estimates dose-response curves, and provides uncertainty estimates.

Language:Jupyter NotebookLicense:MITStargazers:174Issues:15Issues:11

gwaslab

A Python package for handling and visualizing GWAS summary statistics. https://cloufield.github.io/gwaslab/

Language:PythonLicense:GPL-3.0Stargazers:128Issues:2Issues:92

InteractiveComplexHeatmap

Make Interactive Complex Heatmaps

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pytorch-lasso

L1-regularized least squares with PyTorch

Language:PythonLicense:MITStargazers:61Issues:2Issues:3

1000-genomes-genetic-maps

Genetic maps interpolated to sites in the 1000 Genomes project

transfertools

Python toolbox for transfer learning.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:25Issues:4Issues:2

pgs-calc

Applying polygenic scores (PGS) on imputed genotypes

Language:JavaLicense:MITStargazers:24Issues:4Issues:5

bio2zarr

Convert bioinformatics file formats to Zarr

Language:PythonLicense:Apache-2.0Stargazers:22Issues:4Issues:129

viprs

Variational Inference of Polygenic Risk Scores

Language:PythonLicense:MITStargazers:18Issues:4Issues:5

gwas-summary-statistics-standard

Documentation on new GWAS Summary Statistics Standard

magenpy

Modeling and Analysis of (Statistical) Genetics data in python

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boostIV

Causal Gradient Boosting: Boosted Instrumental Variable Regression

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pcsstools

Tools for regression using pre-computed summary statistics

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