michelnivard Goto Github PK
Name: Michel Nivard
Type: User
Twitter: michelnivard
Name: Michel Nivard
Type: User
Twitter: michelnivard
Scripts and notebooks for models that enable better causal inferences in psychological sciences
These are the boulder hail practicals, with a "go to google colab" link
A continually updated document with designs that use polygenic risk scores to detect and correct for gene-environment correlation
R-package for structural equation modeling based on GWAS summary data
GPT RStudio addins that enable GPT assisted coding, writing & analysis
Genetic Unmixing by Independent Decomposition (GUIDE) software and tools. See https://www.biorxiv.org/content/10.1101/2024.05.03.592285v1 for more information.
High-definition likelihood inference of genetic correlations (HDL)
Future Paper on combining identification strategies
Multi co-moment structural equation models
R and FORTRAN based optimizer specifically written to estimate genetic variance component models, in which fixed effects and moderation effects are allowed.
Obsidian Plugin to execute code in a note.
This will be an R code evaluator plugin
Interactive notebooks for R
Minimal R wrapper for llama.cpp
Scripts for running a sibling GWAS
SEM using TensorFlow
repo for code & data for a llama model fine-tuned to be an R tutor.
Twin and family structural equation models in lavaan
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.