Alternatives and similar repositories for concentrationMetrics

Users that are interested in concentrationMetrics are comparing it to the libraries listed below

• CamDavidsonPilon / lifestyles
  Work-In-Progress: conjoint analysis in Python
  ☆52Updated 7 years ago
• asdf8601 / IneqPy
  IneqPy package provides statistics to carry on quantitative analysis of inequality.
  ☆20Updated 9 months ago
• natematias / research_in_python
  This repository includes all the data analyses I carry out for my general exams reading, Spring 2015
  ☆64Updated 10 years ago
• mwouts / world_bank_data
  The World Bank Data in Python
  ☆138Updated 11 months ago
• parsing-science / pymc3_models
  ☆159Updated 3 years ago
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆85Updated last year
• andrewtavis / causeinfer
  Machine learning based causal inference/uplift in Python
  ☆61Updated last year
• gnazareths / synth
  ☆17Updated 8 years ago
• martinfleis / clustergram
  Clustergram - Visualization and diagnostics for cluster analysis in Python
  ☆127Updated last month
• jaehyukpark / global_labor_flow_network
  This repo aims to share the core algorithms used in the paper, "Global labor flow network reveals the hierarchical organization and dynam…
  ☆29Updated 6 years ago
• rgerkin / pystan-sklearn
  ☆32Updated 8 years ago
• dssg / triage
  General Purpose Risk Modeling and Prediction Toolkit for Policy and Social Good Problems
  ☆194Updated last week
• fonnesbeck / multilevel_modeling
  Tutorial on multilevel modeling, using Gelman radon example
  ☆58Updated 10 years ago
• luisroque / bayesian_time_series
  Machine Learning models using a Bayesian approach and often PyMC3
  ☆25Updated 4 years ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 7 years ago
• oliviaguest / gini
  Calculate the Gini coefficient of a numpy array.
  ☆162Updated last year
• pysal / spreg
  Spatial econometric regression in Python
  ☆82Updated last month
• WinVector / pyvtreat
  vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…
  ☆121Updated 7 months ago
• bambinos / educational-resources
  Educational resources
  ☆104Updated 3 years ago
• timothyb0912 / pylogit
  A python package for estimating conditional logit models.
  ☆194Updated 3 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆51Updated 4 years ago
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆105Updated 6 years ago
• pzivich / zEpid
  Epidemiology analysis package
  ☆148Updated 2 years ago
• yaronshap / GloballyConsistentRules
  Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…
  ☆25Updated 3 years ago
• springcoil / PyDataLondonTutorial
  PyDataLondonTutorial
  ☆26Updated 9 years ago
• yoonkanglow / Causal-Impact-Analysis-Demo
  ☆26Updated 7 years ago
• almost-matching-exactly / DAME-FLAME-Python-Package
  A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data
  ☆61Updated last month
• jeffalstott / pystan_time_series
  Basic time series modeling with Stan and Pystan
  ☆33Updated 8 years ago
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 4 years ago
• vcerqueira / experiments-performance_estimation
  Comparing different performance estimation methods for time series forecasting tasks
  ☆37Updated 4 months ago