Alternatives and similar repositories for power-laws-forecasting:

Users that are interested in power-laws-forecasting are comparing it to the libraries listed below

• drivendataorg / power-laws-cold-start
  ☆23Updated last year
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 2 years ago
• drivendataorg / power-laws-optimization
  Example repository for the Power Laws: Optimizing Demand-side Strategies competition on DrivenData
  ☆28Updated last year
• manujosephv / deeprenewalprocess
  GluonTS Implementation of Intermittent Demand Forecasting with Deep Renewal Processes arXiv:1911.10416v1 [cs.LG]
  ☆31Updated 3 years ago
• ADGEfficiency / forecast
  a toolkit for forecasting energy time series
  ☆19Updated 2 years ago
• h3ik0th / ES_energy_Transformer
  Python Darts deep forecasting models
  ☆33Updated 2 years ago
• alteryx / predict-household-poverty
  Predict the poverty of households in Costa Rica using automated feature engineering.
  ☆23Updated 4 years ago
• drivendataorg / power-laws-anomalies
  ☆33Updated last year
• ceshine / quantile-regression-tensorflow
  Implementations of Quantile Regression
  ☆28Updated 6 years ago
• jxx123 / fireTS
  A python multi-variate time series prediction library working with sklearn
  ☆94Updated 4 years ago
• IoannisNasios / M5_Uncertainty_3rd_place
  M5 Uncertainty kaggle competition, 3rd place solution
  ☆38Updated last year
• buds-lab / building-prediction-benchmarking
  An array of open source ML models applied to long-term hourly energy prediction for institutional buildings
  ☆27Updated 3 years ago
• raffg / prophet_forecasting
  forecasting examples using Facebook Prophet
  ☆63Updated 4 years ago
• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 2 years ago
• pourya-ir / Medium
  ☆49Updated 5 years ago
• sakshi-mishra / solar-forecasting-RNN
  Multi-time-horizon solar forecasting using recurrent neural network
  ☆40Updated 4 years ago
• mavillan / tsforest
  Time series forecasting with tree ensembles
  ☆12Updated 3 years ago
• alteryx / predict-taxi-trip-duration
  Predict taxi trip duration based on historical trips using automated feature engineering
  ☆62Updated 4 years ago
• sintel-dev / Draco
  State space and deep generative models for time series.
  ☆54Updated last year
• pipidog / DeepTimeSeries
  A Keras-based library for analysis of time series data using deep learning algorithms.
  ☆117Updated 7 years ago
• Vishwacorp / nyc_uber_forecasting
  Forecasting Uber demand in NYC neighborhoods
  ☆34Updated 6 years ago
• strongio / quantile-regression-tensorflow
  Tensorflow implementation of deep quantile regression
  ☆76Updated 2 years ago
• Y-oHr-N / OptGBM
  Optuna + LightGBM = OptGBM
  ☆35Updated 2 years ago
• kolasniwash / short-term-energy-demand-forecasting
  Forecasts next 24 hours of hourly energy demand with Keras, Prophet, and SARIMA (statsmodels)
  ☆89Updated last year
• tcassou / mlencoders
  Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.
  ☆23Updated 4 years ago
• jwmueller / BanditDynamicPricing
  Bandit algorithms for dynamic pricing of many products
  ☆39Updated 5 years ago
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆161Updated 11 months ago
• fastforwardlabs / structural-time-series
  Structural Time Series on US electricity demand data
  ☆22Updated 4 years ago
• octoenergy / timeserio
  Better `keras` models for time series and beyond
  ☆61Updated last year
• uselessskills / auto_ml
  In this repository we test AutoML approaches for time-series forecasting
  ☆13Updated 6 years ago