Reverse Dependencies of statsmodels
The following projects have a declared dependency on statsmodels:
- diapysef — Analysis, conversion and visualization of diaPASEF data.
- didipack — Usefull time saver for data-science and finance with python
- DiffDomain-py3 — DiffDomain can test the significant difference of TADs on chromatin.
- differences — difference-in-differences estimation and inference in Python
- diffxpy — Fast and scalable differential expression analysis on single-cell RNA-seq data
- dimet — A tool for Differential analysis of Isotope-labeled targeted Metabolomics data
- dimopy — 描述信息
- direpack — A Python 3 Library for State-of-the-Art Statistical Dimension Reduction Methods
- dirty_cat — Machine learning with dirty categories.
- dirtydf — A package to dirty datasets
- discrimintools — Python package dedicated to Discriminant Analysis (DA) distributed under the MIT License
- disease-classifier — A disease classifier based on iPAC images.
- dismalpy — DismalPy: a collection of resources for quantitative economics in Python.
- distfeatselect — A Pyhton package implementing distributed feature selection algorithm.
- distfit — distfit is a python library for probability density fitting.
- divergence — Information Theoretic Measures of Entropy and Divergence
- Djaizz — Artificial Intelligence (AI) in Django Applications
- dlmhelper — This package includes functions and custom data types to help with performing dynamic linear model fits and analyzing the results.
- dms2dfe — Pipeline to analyse Deep Mutational Scanning (DMS) experiments in terms of Distribution of Fitness Effects (DFE)
- DNBC4-test — DNBC4 scRNA QC
- DNBC4dev — DNBC4 scRNA QC
- dnntime — An end-to-end, modular deep learning package time-series predictive modeling.
- doex — Python library for conducting design of experiments
- dominance-analysis — Dominance Analysis
- domino-code-assist — no summary
- dorkylever-lama-phenotype-detection — Phenotype detection pipeline for finding abnormalities in mouse embryos
- DoubleML — Double Machine Learning in Python
- dowhy — DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions
- doyle — doyle description
- dpi-sc — An end-to-end single-cell multimodal analysis model with deep parameter inference.
- dpks — Data processing package for the analysis of omics data
- dplpy — Dendrochronology Program Library for Python
- dreegdl — Depression Rest EEG Deep Learning - Deep Learning tools for Depression Rest EEG signals
- dretools — A software package for finding differential RNA editing.
- drexml — (DRExM³L) Drug REpurposing using and eXplainable Machine Learning and Mechanistic Models of signal transduction"
- drfetools — A package for preforming dynamic recursive feature elimination with sklearn.
- drfsc — A Python package implementing a distributed randomised feature selection algorithm.
- drifter-ml — Testing for models confirming to the scikit-learn api
- Driver2Comm — A computational framework for associating cancer cell-intrinsic driver genes with -extrinsic cell-cell communication
- DriverPower — Combined burden and functional test for coding and noncoding cancer drivers
- drug2cell — Gene group activity utility functions for scanpy
- drug2ways — Reasoning over polar paths in biological networks for drug discovery applications
- ds-methods — Pipelines architecture for common data science methods and time series analysis
- ds-modules-101 — A small package to help with some routine Data Science activities
- ds-pricing-framework — Read the latest Real Python tutorials
- ds-toolbox — A ToolBox with daily helpers for the analytical part of a Data Scientist.
- dscim — Data-Driven Spatial Climate Impact Model core component code
- dshelper — dshelper: A GUI tool to display pandas dataframe and draw plots in a few clicks
- dslibs-baosws — A unified module of frequently used data-science modules
- dspawpy — Tools for dspaw
- dSreg — Joint inference of alternative splicing and regulatory changes
- dstricks — Data science package
- dsu — no summary
- dswe — A python package to supplement the Data Science for Wind Energy (DSWE) book.
- dtg — Heavy-tailed distribution analysis
- dtscalibration — Load Distributed Temperature Sensing (DTS) files, calibrate the temperature and estimate its uncertainty.
- dvh-analytics — Create a database of DVHs, views with Bokeh
- dvha — Create a database of DVHs, GUI with wxPython, plots with Bokeh
- dxlib — Quantitative Methods for Finance
- dynamask — Dynamask - Explaining Time Series Predictions with Dynamic Masks
- dynamo-release — Mapping Vector Field of Single Cells
- dynapipe — Dynamic Pipeline is a high-level API to help data scientists building models in ensemble way, and automating Machine Learning workflow with simple coding.
- dynetlsm — dynetlsm
- dysregnet — DysRegNet
- eagles — Data science utility package to help practitioners do ML and EDA work.
- eap — This package is designed for empirical asset pricing
- easy-es — Python Event Financial Study
- easy-ht — A Python package for easy Hypothesis Tests
- easyclimate — A line of code to analyze climate
- easyEEG — Concise, agile, and flexible EEG toolbox
- easyexplore — Toolbox for easy and effective data exploration
- easypqp — EasyPQP: Simple library generation for OpenSWATH
- ebmdatalab — Package for ebmdatalab jupyter notebook stuff
- eBoruta — Extended Boruta -- a flexible transparent sklearn-compatible python Boruta implementation
- ebosc — extended Better Oscillation Detection, implemented in python3
- Echelon8-test — Backtesting Engine
- EclipsingBinaries — "Binary Star Package for Ball State University's Astronomy Research Group"
- ecoforest — no summary
- ecoform-alvin — Economic models
- econml — This package contains several methods for calculating Conditional Average Treatment Effects
- econmodels — A collection of econometric modelling tools
- econometricMethodsESAN — Economic models
- econuy — Wrangling Uruguayan economic data so you don't have to.
- ecopipeline — Contains functions for use in Ecotope Datapipelines
- EcoStock — A Python package for investigating the correlation between economic and financial data.
- eda-fe-model — A python package to handle EDA and feature extraction and also return the best hyperparameters for a tabular classification problem.
- Edatora — A python package that runs exploratory data analysis for users
- edawesome — Quick, easy and customizable data analysis with pandas and seaborn
- edgaro — Explainable imbalanceD learninG compARatOr
- edges-cal — Calibration routines for EDGES data
- edvart — Effective data visualization and reporting tool
- eeg-emotion-recognition — no summary
- eemeter — Open Energy Efficiency Meter
- eensight — A library for measurement and verification of energy efficiency projects.
- eeSDM — Google Earth Engine-based Species Distribution Modeling
- effectsize — Computing effect sizes in Python
- EGCI — Ecoacoustic Global Complexity Index (EGCI)
- eig — Enhanced Integrated Gradients - a method of attributing the prediction of a deep network to its input features
- eir-auto-gp — no summary
- eis_toolkit — EIS Toolkit is a comprehensive collection of tools suitable for mineral prospectivity mapping. This toolkit has been developed as part of the Exploration Information System project which has been funded by European Union.