Alternatives and similar repositories for supplychainpy_notebooks

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

• Lyyoness / CS166-Modeling-Simulation-and-Decision-Making
  Learning how to apply advanced decision techniques such as real options, Monte Carlo simulation, network concepts from graph theory, prob…
  ☆29Updated 6 years ago
• firmai / python-for-finance
  ☆14Updated 6 years ago
• alteryx / predict-taxi-trip-duration
  Predict taxi trip duration based on historical trips using automated feature engineering
  ☆62Updated 5 years ago
• MiyainNYC / Distributed-Machine-Learning
  PySpark, Databrick, h2o, MLlib
  ☆19Updated 9 years ago
• david10e10 / High-Dim-TS-Medium
  Deep Learning for High-Dimensional Time Series
  ☆22Updated 6 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆26Updated 6 years ago
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 4 years ago
• yoonkanglow / Causal-Impact-Analysis-Demo
  ☆26Updated 8 years ago
• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 3 years ago
• JessieRayeBauer / Time-Series-Forecasting-
  Consulting Project with Manifold.co: Modeling System Resource Usage for Predictive Scheduling
  ☆24Updated 7 years ago
• algobeans / Time-Series-Forecasting
  Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM
  ☆47Updated 8 years ago
• octoenergy / timeserio
  Better `keras` models for time series and beyond
  ☆61Updated last year
• blue-yonder / pydse
  Python package for dynamic system estimation of time series
  ☆40Updated 5 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 3 years ago
• eigenfoo / random
  This is all my random garbage.
  ☆26Updated 2 years ago
• firmai / ml-fairness-framework
  FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
  ☆72Updated 4 years ago
• dushyantkhosla / ts-forecasting-ensemble
  CentOS based Docker container for Time Series Analysis and Modeling.
  ☆22Updated 6 years ago
• tkralphs / FinancialModels
  A collection of basic financial models and helper scripts implemented in Python (using PuLP and Pyomo modeling languages) and AMPL.
  ☆26Updated 9 years ago
• yiaktan / Secondhand_Concert_Tickets
  ☆17Updated 7 years ago
• alteryx / predict-household-poverty
  Predict the poverty of households in Costa Rica using automated feature engineering.
  ☆23Updated 5 years ago
• manujosephv / deeprenewalprocess
  GluonTS Implementation of Intermittent Demand Forecasting with Deep Renewal Processes arXiv:1911.10416v1 [cs.LG]
  ☆31Updated 3 years ago
• AlexIoannides / pymc-stochastic-process
  Bayesian Inference and parameter estimation in quant finance.
  ☆43Updated 6 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆51Updated 2 years ago
• fastforwardlabs / structural-time-series
  Structural Time Series on US electricity demand data
  ☆22Updated 4 years ago
• tonyleidong / OptimalFlow
  OptimalFlow is an omni-ensemble and scalable automated machine learning Python toolkit, which uses Pipeline Cluster Traversal Experiments…
  ☆27Updated last year
• open-risk / transitionMatrix
  Statistical analysis and visualization of state transition phenomena
  ☆86Updated 11 months ago
• ahmed-mohamed-sn / ATgfe
  Automated Transparent Genetic Feature Engineering
  ☆22Updated 2 years ago
• tcassou / mlencoders
  Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.
  ☆23Updated 5 years ago
• SimonOuellette35 / Introduction_to_PyMC3
  ☆39Updated 7 years ago
• drivendataorg / power-laws-forecasting
  Winners of the Power Laws forecasting competition
  ☆64Updated 2 years ago