Reverse Dependencies of statsmodels
The following projects have a declared dependency on statsmodels:
- trikit — A Pythonic Approach to Actuarial Reserving
- TRSalgorithm — Determining 3' termini of transcripts from RNAtag-seq data in bacteria
- trtools — Toolkit for genome-wide analysis of STRs
- trx — tools for (T)ime (R)esolved (X)-ray techniques
- ts-app — A simple dashboard application for interactively fitting ARIMA models.
- ts-eval — Time Series analysis and evaluation tools
- ts-forecasting-pipeline — Toolset for time series forecasting. Supports both basic modeling and in-production usage.
- ts-hyperparam-opt — Convenience package for parallelized hyperparameter optimization (e.g. in Jupyter Notebooks) using grid search and CV
- TS-mod — AUTOCALCULATE ARIMA MODEL
- tsa-lth — Package for time series analysis course on LTH
- tsad — Time Series Analysis for Simulation of Technological Processes
- tsbootstrap — A Python package to generate bootstrapped time series
- tscausalinference — Bootstrap random walk simulations methodoly applied on top of Facebook Prophet to analyse causal effects
- tscfat — A time series co-fluctuation analysis toolbox
- tsdst — A low-key data science and statistics toolkit
- tse-datatools — Toolbox for handling data from TSE Systems product line
- TSEnsemble — A Python library for times series forecasting, which uses an ensemble of methods, including SARIMA and deep learning models
- tseries-featurizer — A time series featurizer.
- tseuler — A library for Time-Series exploration, analysis & modelling.
- tsextract — Time series data preprocessing
- tsf — A library to forecast timeseires data
- tsfeast — A collection of Scikit-Learn compatible time series transformers and tools.
- tsfeatures — Calculates various features from time series data.
- tsfel — Library for time series feature extraction
- tsfresh — tsfresh extracts relevant characteristics from time series
- tsfuse — Automated feature construction for multiple time series data
- tslumen — A library for Time Series exploratory data analysis
- tsma — (time series model analyses) This package offers tools for analyzing models that generate multivariate time series as output.
- tsml — A toolkit for time series machine learning algorithms.
- TSmodel — AUTOCALCULATE ARIMA MODEL
- tspymfe — Univariate time-series expansion for Pymfe package
- tstoolbox — Command line script and Python library to manipulate time series.
- TSUtilities — Various utilities for time series forecasting.
- tti — Trading Technical Indicators, python library. Where Traditional Technical Analysis and AI are met.
- tuanalyzes — no summary
- tui-dsg — everything you need for our jupyter notebooks
- TumorDecon — Deconvolution Methods for Digital Cytometry
- tuneup — Global optimizer comparison and combination
- turbustat — Statistics of Turbulence
- tw-experimentation — Wise AB platform
- u8darts — A python library for easy manipulation and forecasting of time series.
- u8timeseries — A collection of easy-to-use timeseries forecasting models
- UCTB — Urban Computing ToolBox
- uganda-uber-switching-reg — A robust estimator to machine learning prediction misclassification
- ugd — Drawing graphs uniformly at random subject to partition constraints (Partition Adjacency Matrix). Used for network testing.
- ulrm — A module that can make Univariate Linear Regression Model
- unbiasedness — Functions for estimating unbiasedness regressions.
- unimortal — Tools to get inference from the Global Mortality Rate in Python
- unitvelo — Temporally unified RNA velocity inference
- universal-portfolios — Collection of algorithms for online portfolio selection
- unpast — A novel method for unsupervised patient stratification.
- unsupervised-multimodal-trajectory-modeling — trains mixtures of state space models with expectation maximization
- urbansim — Platform for building statistical models of cities and regions
- urbansim-templates — UrbanSim extension for managing model steps
- urbansim-wfrc — Urbansim library originally by Paul Waddell, customized by WFRC Analytics
- urbantrips — A library to process public transit smart card data.
- url-image-module — Image Module of REACT
- validar-modelos — Ferramentas e Instruções para Validação de Modelos Clássicos
- validate-models — Tools and Instructions for Validation of Classical Models
- validmind — ValidMind Developer Framework
- vartests — Statistic tests for Value at Risk (VaR) Models.
- vbp — Value Based Prioritization
- vectorlab — A lab for vectors.
- velocycle — Bayesian model for RNA velocity estimation of periodic manifolds
- verifai — A toolkit for the formal design and analysis of systems that include artificial intelligence (AI) and machine learning (ML) components.
- verispy — Parses VCDB json data into a Pandas DataFrame and provides summary functions and basic enumeration plotting.
- vetiver — Version, share, deploy, and monitor models.
- vf-forecaster — A portable optimized time-series forecasting framework for Python
- vf-portalytics — A consistent interface for creating Machine Learning Models compatible with VisualFabriq environment
- views-stepshift — The code used to run modelling pipelines at ViEWS
- vimms — A framework to develop, test and optimise fragmentation strategies in LC-MS metabolomics.
- viprs — Variational Inference of Polygenic Risk Scores (VIPRS)
- virgo-modules — data processing and statistical modeling using stock market data
- viroconcom — ViroCon is a software to compute environmental contour
- vital-sqi — Signal quality control pipeline for electrocardiogram and photoplethysmogram
- vogel — vogel Python Package
- vortexasdk — Vortexa SDK
- voyagerpy — Python library for Voyager, the geo-spatialist R library.
- vplotly — A small package for plotting based on plotly. This package is accompanying the package vstats.
- VRAresultsTest — Set of tools to measure and run test laid out by the 1982 Voting Rights Amendment
- VSRstats — VSR statstics compute util
- vstats — A small Python package providing tools for statistics
- vtool-ibeis — vision tools for IBEIS
- vus — Volume Under the Surface
- wammodels — library for customization modeling .WA
- water-masses — Analysis of the northern European shelf seas
- wbia-vtool — Vtool - Image Tools for Wildbook IA
- we-factor-quad — Factor Quad, a data structure for factor analysis
- we-report — Wealth Engine ReportData Generator
- wearablehrv — Wearablehrv: A Python package for the validation of heart rate and heart rate variability in wearables.
- webviz-subsurface — Webviz config plugins for subsurface data
- wetterdienst — Open weather data for humans
- wgcpy — Data analysis and PMML model framework!
- wildbook-ia — Wildbook IA (WBIA) - Machine learning service for the WildBook project
- wildboottest — Wild Cluster Bootstrap Inference for Linear Models in Python
- wiliot-deployment-tools — A library for interacting with Wiliot's Deployment Tools
- wisdem — Wind-Plant Integrated System Design & Engineering Model
- wisestork — Within-sample CNV calling
- wishbone-dev — Wishbone algorithm for identifying bifurcating trajectories from single-cell data
- witcher — Automated AI tool including: recommender system, deep Learnings ...