gherardovarando's Stars
aleianno90/MultilinearVerseLatex
Latex repository for the MultilinearVerse project
stagedtrees/stagedtrees
An R package for stratified staged probability event trees
kkholst/targeted
Targeted inference (R package) https://kkholst.github.io/targeted/
pulsar-edit/pulsar
A Community-led Hyper-Hackable Text Editor
CausalDisco/gadjid
Adjustment Identification Distance: A gadjid for Causal Structure Learning
ShinyEd/intro-stats
Shiny apps for introductory statistics
davenza/PyBNesian
PyBNesian is a Python package that implements Bayesian networks.
KaiHCohrs/Fluxpart-Equifinality
Set of experiments to discover problems in equifinality within the fluxpartitioning problem.
karenamckinnon/forcesmip
repository for code and methods associated with the ForceSMIP project
rstudio/renv
renv: Project environments for R.
deselaers/latex-beamerposter
The LaTeX beamerposter package
biobootloader/wolverine
raghur/mermaid-filter
Pandoc filter for creating diagrams in mermaid syntax blocks in markdown docs
BaileyJM02/markdown-to-pdf
A GitHub Action to make PDF and HTML files from Markdown
IPL-UV/geospatial_examples
A collection of examples handling geospatial data
g-walley/cegpy
Cegpy (/segpaɪ/) is a Python package for working with Chain Event Graphs. It supports learning the graphical structure of a Chain Event Graph from data, encoding of parametric and structural priors, estimating its parameters, and performing inference.
iancovert/Neural-GC
Granger causality discovery for neural networks.
icos-etc/Partitioning_ANN
Partitioning using ANN
fluxnet/ONEFlux
Open Network-Enabled Flux processing pipeline
MPI-BGC-Functional-Biogeography/rtry
rtry: Preprocessing Plant Trait Data
christinaheinze/CompareCausalNetworks
A unified interface for the estimation of causal networks
christinaheinze/latent-linear-adjustment-autoencoders
Latent Linear Adjustment autoencoders: A novel method for estimating and simulating dynamic precipitation at high resolution
xtibau/savar
pinplex/Hackathon-Attribution
This repository contains code (toy models) and data for the attribution and hybrid modeling hackathon.
melaniesubbiah/Optimal-emissions-pathway
Learning an optimal policy for emissions reductions to meet global temperature goals using reinforcement learning.
dionhaefner/dionsthesis
Custom LaTeX2e documentclass for typesetting beautiful, modern theses.
OMS-NetZero/FAIR
Finite-amplitude Impulse Response simple climate model
khronimo/MiFloraDB
BiomedSciAI/causallib
A Python package for modular causal inference analysis and model evaluations
remoteinterview/compilebox
Compile and run user-submitted code in a docker based sandbox.