Alternatives and similar repositories for awesome-des

Users that are interested in awesome-des are comparing it to the libraries listed below

• drumtorben / polars-ts
  Polars Time Series Extension
  ☆29Updated 6 months ago
• williambdean / pymc-mlflow-example
  MLflow logging for PyMC
  ☆13Updated 4 months ago
• juanitorduz / btsa
  Berlin Time Series Analysis Repository
  ☆100Updated 2 years ago
• pymc-devs / pymc-bart
  ☆122Updated last week
• kvnkho / pydata-timeseries-forecasting
  Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
  ☆27Updated 2 years ago
• xqnwang / conformalForecast
  Methods and tools for multistep-ahead time series conformal prediction.
  ☆38Updated 4 months ago
• posit-dev / orbital
  Turn SciKitLearn pipelines into SQL
  ☆93Updated last week
• jgreathouse9 / mlsynth
  This is the repository for the Python library mlsynth
  ☆38Updated last week
• juanitorduz / website_projects
  Repository containing the code of the projects presented in my personal website.
  ☆42Updated this week
• lorentzenchr / model-diagnostics
  Tools for diagnostics and assessment of (machine learning) models
  ☆38Updated 2 weeks ago
• modeva-ai / Modeva
  Integrated tool for model development and validation
  ☆31Updated 3 weeks ago
• OVVO-Financial / NNS
  Nonlinear Nonparametric Statistics
  ☆79Updated this week
• Blue-Yonder-OSS / cyclic-boosting
  implementation of Cyclic Boosting machine learning algorithms
  ☆90Updated 11 months ago
• MatthewK84 / LinkedIn-Learning-Journey
  Matthew Kolakowski Learning Journey with Articles on Time Series Analysis, Machine Learning, Python Programming, and Systems Engineering.
  ☆29Updated this week
• EmilHvitfeldt / feature-engineering-az
  Source for book "Feature Engineering A-Z"
  ☆147Updated this week
• koaning / scikit-playtime
  Rethinking machine learning pipelines
  ☆32Updated 8 months ago
• jessegrabowski / statespace-presentation
  Presentation materials for PyMC Statespace
  ☆23Updated 11 months ago
• mattharrison / effective_polars_book
  Code and materials for Effective Polars book
  ☆82Updated last year
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆37Updated 9 months ago
• jeroenjanssens / python-polars-the-definitive-guide
  Scripts and datasets for the O'Reilly book Python Polars: The Definitive Guide
  ☆250Updated 3 months ago
• feature-engine / feature-engine-examples
  ☆35Updated 6 months ago
• JosephBARBIERDARNAL / dayplot
  Calendar heatmaps with matplotlib
  ☆82Updated last month
• ChadFulton / scipy2022-bayesian-time-series
  Bayesian Estimation and Forecasting of Time Series in statsmodels, for Scipy 2022 conference
  ☆24Updated 3 years ago
• ostojanovic / causalML
  ☆33Updated 11 months ago
• kevinheavey / modern-polars
  Code and data for the Modern Polars book
  ☆228Updated 8 months ago
• jakorostami / expectation
  Python library for confidence sequences, sequential testing, e-processes, e-values, and game-theoretic probability.
  ☆33Updated last week
• mattharrison / 2023-Pycon-Polars
  Intro to Polars Tutorial
  ☆23Updated 2 years ago
• supplyseer-ai / supplyseer
  Python library for Applied Computational Supply Chain & Logistics. Unlock Neural Nets, Bayesian EOQ, Optimization, Time Series, and more …
  ☆101Updated 3 months ago
• jmoralez / window_ops
  Fast window operations
  ☆44Updated last year
• takechanman1228 / Effective-Uplift-Modeling
  ☆22Updated last year