Alternatives and similar repositories for tseuler:

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

• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• MaxHalford / naked
  The simplest way to deploy a machine learning model
  ☆23Updated 2 years ago
• tblume1992 / BetaBoost
  A small wrapper to do Beta Boosting with XgBoost
  ☆15Updated 3 years ago
• FlorianWilhelm / polars_vs_pandas
  Comparing Polars to Pandas and a small introduction
  ☆43Updated 3 years ago
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated 2 years ago
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 3 years ago
• microprediction / timeseries-elo-ratings
  Elo ratings for time-series forecasting packages
  ☆23Updated 3 years ago
• koaning / scikit-churn
  Exploring some issues related to churn
  ☆16Updated last year
• vaexio / vaex-talks
  Talks about vaex
  ☆36Updated 2 years ago
• jseabold / pandas-selectable
  A `select` accessor for easier subsetting of pandas DataFrames and Series
  ☆34Updated last year
• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 2 years ago
• ahmed-mohamed-sn / ATgfe
  Automated Transparent Genetic Feature Engineering
  ☆22Updated last year
• zedshape / zgrouping
  ☆23Updated 2 years ago
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 6 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆25Updated 5 years ago
• fastforwardlabs / structural-time-series
  Structural Time Series on US electricity demand data
  ☆22Updated 4 years ago
• Didayolo / autopandas
  Process, visualize and use data easily.
  ☆20Updated last year
• cyrilou242 / mockseries
  Easy and intuitive generation of synthetic timeseries for Python.
  ☆39Updated 7 months ago
• dhaitz / machine-learning-interactive-visualization
  Interactive visualization of machine learning model evaluation metrics
  ☆63Updated 5 years ago
• koaning / scikit-prune
  Prune your sklearn models
  ☆19Updated 5 months ago
• ben-arnao / StoRM
  A neural network hyper parameter tuner
  ☆30Updated last year
• octoenergy / timeserio
  Better `keras` models for time series and beyond
  ☆61Updated last year
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆69Updated 8 months ago
• aromain / intermarche_challenge
  [Intemarché] Sales forecasting challenge
  ☆11Updated 3 years ago
• chlubba / op_importance
  Compute set of important operations for HCTSA code
  ☆26Updated 5 years ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆77Updated 10 months ago
• thomasjpfan / skconfig
  Experimental library for sampling and validating scikit-learn parameters
  ☆10Updated 6 years ago
• facultyai / ipydataclean
  Interactive cleaning for Pandas DataFrames
  ☆15Updated 5 years ago
• FBruzzesi / timebasedcv
  Time based splits for cross validation
  ☆38Updated last week
• jameslamb / lightgbm-dask-testing
  Test LightGBM's Dask integration on different cluster types
  ☆12Updated 3 months ago