mostly-ai / virtualdatalab

Related projects ⓘ

Alternatives and complementary repositories for virtualdatalab

• causalens / cai-causal-graph
  A Causal AI package for causal graphs.
  ☆54Updated 2 weeks ago
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆68Updated 3 months ago
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated last year
• Nixtla / coreforecast
  Fast implementations of common forecasting routines
  ☆30Updated this week
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆36Updated 3 years ago
• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆64Updated 7 months ago
• AnotherSamWilson / fastshap
  Batch shap calculations.
  ☆31Updated last year
• NorskRegnesentral / skchange
  skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms
  ☆13Updated this week
• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 2 years ago
• xtreamsrl / pytsviz
  A set of utilities to quicky analyze time series.
  ☆22Updated 3 years ago
• FBruzzesi / timebasedcv
  Time based splits for cross validation
  ☆33Updated last week
• StatMixedML / DGBM
  Distributional Gradient Boosting Machines
  ☆26Updated last year
• spotify-research / tdsurv
  Code for the paper "Temporally-Consistent Survival Analysis".
  ☆23Updated last year
• SelfExplainML / GamiNet
  GAMI-Net: Generalized Additive Models with Structured Interactions
  ☆30Updated 2 years ago
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆35Updated last month
• alan-turing-institute / QUIPP-pipeline
  Privacy preserving synthetic data generation workflows
  ☆20Updated 2 years ago
• elephaint / hfas
  Hierarchical Forecasting at Scale
  ☆13Updated 8 months ago
• zedshape / zgrouping
  ☆24Updated 2 years ago
• vcerqueira / vest
  Automatic Feature Engineering for Time Series
  ☆17Updated last year
• ericmjl / causality
  In which I play with the ideas surrounding causality
  ☆50Updated 2 years ago
• TomerRonen34 / treeboost_autograd
  Easy Custom Losses for Tree Boosters using Pytorch
  ☆30Updated 3 years ago
• industry-bandits / practical-bandits-tutorial
  ☆19Updated last year
• smazzanti / valicast
  Validation for forecasts
  ☆18Updated last year
• jambo6 / generalised-signature-method
  Code for: "A Generalised Signature Method for Time Series"
  ☆59Updated last year
• lorentzenchr / model-diagnostics
  Tools for diagnostics and assessment of (machine learning) models
  ☆29Updated last week
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆105Updated last year
• cyrilou242 / mockseries
  Easy and intuitive generation of synthetic timeseries for Python.
  ☆33Updated 2 months ago
• vacquaviva / IntroConformalPredictions
  A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…
  ☆12Updated 4 months ago