Reverse Dependencies of statsmodels

The following projects have a declared dependency on statsmodels:

• arfs — All Relevant Feature Selection and Maximal Relevant minimal redundancy FS
• arima-model-selection — AUTOCALCULATE P,q,R
• arimafd — Build librarry
• ArithmeticOptimizer — An optimizer tool for ML preprocessing
• ark-analysis — Toolbox for analysis on segmented images from MIBI.
• arma-scipy — Estimating coefficients of ARMA models with the Scipy package.
• arnet — Nonlinear autoregression with feed-forward neural networks (or any estimator really)
• ArticleAnalyst — This is a package to process large-scale article data downloaded from PubMed.
• artificial-data-generator — no summary
• arv-easy-analysis — Data Analysis makes easy.
• asdfghxcv — The package of Auto-DP ( Automated System for Data Preparation).
• AssayingAnomalies — This library is a Python implementation of the MATLAB Toolkit that accompanies Novy-Marx and Velikov (2023) and is to be used for empirical academic asset pricing research, particularly focused on studying anomalies in the cross-section of stock returns.
• assesspy — Python package for measuring assessment performance
• assoview — DESCRIPTION
• assumption-sheriff — A comprehensive statistical assumption checking package
• astar-qa — qa for python
• astk — no summary
• astrafocus — My package description
• astro-elk — This python package computes, and corrects ensemble light curves for TESS pixels within a specified aperature, from TESS FFI data.
• atlantic — Atlantic: Automated Preprocessing Framework for Supervised Machine Learning
• atom-ml — A Python package for fast exploration of machine learning pipelines
• attribench — A benchmark for feature attribution techniques
• audit-AI — audit-AI detects demographic differences in the output of machine learning models or other assessments
• audpsychometric — Analyze and summarize human annotations
• auto-bots — Automated time-series forecasting
• auto-ts — Automatically Build Multiple Time Series models fast - now with Facebook Prophet!
• autoballs — Python package for segmentation of axons and morphological analysis.
• autobmt — a modeling tool that automatically builds scorecards and tree models.
• AutoCarver — Automatic Discretization of Features with Optimal Target Association
• AutoDataPre — The package of Auto-DP ( Automated System for Data Preparation).
• AutoDataPreprocess — A high-level library for automatic preprocessing of tabular data
• autoforecast — AutoML time series forecasting
• autoimpute — Imputation Methods in Python
• automated-machineLearning-methods — A small example package for machine learning operations
• autoMMM — no summary
• autoneuro-pypi — Template python package
• autonon — Organon Automated ML Platform
• autoprognosis — A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.
• autorad — Radiomics-related modules for extraction and experimenting
• autorank — Automated ranking of populations in a repeated measures experiment, e.g., to rank different machine learning approaches tested on the same data.
• autotime — Automated ML-based predictive analytics framework for time-series data.
• AutoTS — Automated Time Series Forecasting
• autoviz — Automatically Visualize any dataset, any size with a single line of code
• axtreme — A development library for the RaPiD project
• azapy — Financial Portfolio Optimization Algorithms
• azureml-automl-runtime — Contains the ML and non-Azure specific common code associated with running AutoML for public use.
• azureml-train-automl-runtime — Used for automatically finding the best machine learning model and its parameters.
• azureml-training-tabular — Contains ML models, featurizers and scoring code which can either be used with AutoML or standalone.
• azuremlftk — "Microsoft Azure Machine Learning Forecasting Toolkit"
• babino2020masks — Code used in https://arxiv.org/abs/2006.05532
• bacGWAStatLearn — A machine learning approach for conducting genome wide association studies (GWAS) on bacteria
• backtester — A backtesting for timeseries data in a pandas dataframe
• bahc — Bootstrap Average Hierarchical Clustering for filtering covariance matrices
• balance — balance is a Python package offering a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest.
• bamboolib — bamboolib - a GUI for pandas
• bandit-optimization — Bandit optimization algorithms for microscopy
• bartpy — Bayesian Additive Regression Trees for Python
• bartpy2 — Bayesian Additive Regression Trees for Python Updated in January 2024
• baseqCNV — Pipeline for Processing Whole Genenome Sequencing datasets
• bassmodeldiffusion — no summary
• bayes-traj — bayes_traj
• bayesvalidrox — An open-source, object-oriented Python package for surrogate-assisted Bayesain Validation of computational models.
• bbstrader — Simplified Investment & Trading Toolkit
• bcblib — no summary
• bciavm — bciAVM is a machine learning pipeline used to predict property prices.
• beanmachine — Probabilistic Programming Language for Bayesian Inference
• Beat-ML1 — This package contains several methods for calculating Conditional Average Treatment Effects
• BEAT-TEST — This package contains several methods for calculating Conditional Average Treatment Effects
• BEATAALU — This package contains several methods for calculating Conditional Average Treatment Effects
• BEER_curve — A very small package to model the BEaming, Ellipsoidal variations, and Reflected/emitted light from low-mass companions
• betabinomial — Beta Binomial test to detect aberration in count data
• bhad — Bayesian Histogram-based Anomaly Detection
• bias-correction — python library for bias_correction
• bindle — My blanket stick.
• binsreg — Implements binscatter methods, including partition selection, point estimation, pointwise and uniform inference methods, and graphical procedures.
• bio-pyminer — PyMINEr: automated biologic insights from large datasets.
• bioat — bioat, a python package & command line toolkit for Bioinformatics and data science!
• biobookshelf — a collection of python scripts and functions for exploratory analysis of bioinformatic data in Python
• biocre — no summary
• bioinf-common — Aggregation of functionalities needed in multiple projects
• bioinfokit — Bioinformatics data analysis and visualization toolkit
• biopsykit — A Python package for the analysis of biopsychological data.
• biorag — BioRAG: A tool for textual and gene set search against ARCHS4 data
• BioSAK — BioSAK
• biostatistics — An intuitive app for statistical analysis
• bipartitepandas — Python tools for bipartite labor data
• bitfount — Machine Learning and Federated Learning Library.
• bixai — Package that makes it a bit easier to understand some complex models and helps you visualize them
• bl-predictor — A simple application for predicting game results for the German Bundesliga
• black-it — black-it: Black-box abm calibration kit
• blackboxopt — A common interface for blackbox optimization algorithms along with useful helpers like parallel optimization loops, analysis and visualization scripts.
• Blauwal3-Survival-Analysis — 蓝鲸数据挖掘软件包的生存分析附加组件。
• Blauwal3-Timeseries — 用于探索时间序列和顺序数据的蓝鲸插件。
• blechpy — Package for exrtacting, processing and analyzing Intan and OpenEphys data
• blip-alpha — A bayesian pipeline for detecting stochastic backgrounds with LISA.
• blip-gw — A bayesian pipeline for detecting stochastic backgrounds with LISA.
• blitzml — A low-code library for machine learning pipelines
• blksheep — A package for differential extreme values analysis
• blockeval — Analyze campaigns with segments derived from a predictive model, an uplift score, or any business rule.
• blockify — Fast and optimal genome segmentation with Bayesian blocks