Reverse Dependencies of pygam

The following projects have a declared dependency on pygam:

• antakia-core — Core modules for AntakIA
• Ball — Ball: A Python Package for Detecting Distribution Difference and Association in Metric Spaces
• causal-curve — A python library with tools to perform causal inference using observational data when the treatment of interest is continuous.
• causaldag — Causal DAG manipulation and inference
• causalml — Python Package for Uplift Modeling and Causal Inference with Machine Learning Algorithms
• cellrank — CellRank: dynamics from multi-view single-cell data
• cgem — CGEM: Collaborative Generalized Effects Modeling
• conditional-independence — Parametric and non-parametric conditional independence tests.
• forexflaggr — A minimal package to pull and analyse financial (exchange rate) data.
• glmdisc — Feature quantization for parsimonious and interpretable models
• happy-learning — Toolbox for reinforced developing of machine learning models (as proof-of-concept)
• hisv — A computational pipeline for structural variation detection from Hi-C data
• InsurAutoML — Automated Machine Learning/AutoML pipeline.
• ISLP — Library for ISLP labs
• justcause — Comparing methods for causality analysis in a fair and just way.
• lingam — LiNGAM Python Package
• mlconfound — Tools for analyzing and quantifying effects of counfounder variables on machine learning model predictions.
• nodegam — NodeGAM - an interpretable deep learning GAM model.
• ogcore — A general equilibribum overlapping generations model for fiscal policy analysis
• omicverse — OmicVerse: A single pipeline for exploring the entire transcriptome universe
• OpenOA — A package for collecting and assigning wind turbine metrics
• palantir — Palantir for modeling continuous cell state and cell fate choices in single cell data
• pheno-utils — Pheno data utils - viz, loaders, mergers
• PiML — A low-code interpretable machine learning toolbox in Python.
• pyVIA — no summary
• spaTrack — an algorithm that combine both gene expression and spot location to inference cell trajectory