gratia
gratia: An R package for exploring generalized additive models - Published in JOSS (2024)
Pyglmnet
Pyglmnet: Python implementation of elastic-net regularized generalized linear models - Published in JOSS (2020)
ungroup
ungroup: An R package for efficient estimation of smooth distributions from coarsely binned data - Published in JOSS (2018)
transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
brglm2
Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction
goes2go
Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.
JointAI
Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values
mboost
Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current relase version can be found on CRAN (http://cran.r-project.org/package=mboost).
remiod
R package for controlled multiple imputation of ordinal or binary responses with missing data in clinical study
quant-methods-elites
Quantitative Methods for Studying Elites: Demonstration for R
l0
Scalable reinforcement learning pipeline for general-purpose agents. Build and train agents using the Notebook Agent (NB-Agent) in a flexible environment. 🐙🚀
orthoptera-elevational-range-community-composition
Investigating the relationship of elevation and Orthoptera species richness, elevational range and community composition.
RegrCoeffsExplorer
A tool for visualizing the coefficients of various regression models, taking into account empirical data distributions.
https://github.com/cjabradshaw/forestsfloods
Deforestation amplifies flood risk and severity in the developing world
prettyglm
prettyglm provides a set of functions which can easily create beautiful coefficient summaries which can readily be shared and explained.