jdb78 / lipo

Related projects: ⓘ

• eserie / wax-ml
  A Python library for machine-learning and feedback loops on streaming data
  ☆59Updated last year
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated last year
• microprediction / optimizer-elo-ratings
  Assigns Elo Ratings to Python Global Optimizers
  ☆22Updated 5 months ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆26Updated 3 years ago
• StatMixedML / DGBM
  Distributional Gradient Boosting Machines
  ☆26Updated last year
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆69Updated 7 months ago
• felipeangelimvieira / prophetverse
  A multiverse of Prophet models for timeseries
  ☆29Updated last week
• zedshape / zgrouping
  ☆24Updated 2 years ago
• pyensemble / wildwood
  Advanced random forest methods in Python
  ☆55Updated 10 months ago
• microprediction / humpday
  Elo ratings for global black box derivative-free optimizers
  ☆130Updated 7 months ago
• nmdwolf / ValidPredictionIntervals
  Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"
  ☆19Updated last year
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆76Updated 3 months ago
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 3 years ago
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆48Updated last month
• S-Driscoll / Projection-pursuit
  Code for performing various projection pursuit routines
  ☆34Updated 2 years ago
• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆64Updated 4 months ago
• probml / bandits
  Bayesian Bandits
  ☆64Updated last year
• SpikeLab-CL / cpadapter
  ☆15Updated this week
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆65Updated 3 weeks ago
• nla-group / fABBA
  A Python library for the fast symbolic approximation of time series
  ☆40Updated this week
• ml-jku / HopCPT
  Conformal Prediction for Time Series with Modern Hopfield Networks
  ☆67Updated 9 months ago
• vincentblot28 / conformalized_gp
  ☆46Updated 2 months ago
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆27Updated 7 months ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆60Updated 2 years ago
• big-data-lab-umbc / ensemble_causality_learning
  ☆10Updated 4 years ago
• fonnesbeck / probabilistic_python
  PyData London 2022 Tutorial
  ☆65Updated 2 years ago
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆66Updated last month
• g-benton / Volt
  Public Implementation of Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
  ☆46Updated 2 years ago
• Nixtla / utilsforecast
  ☆39Updated this week
• lorentzenchr / model-diagnostics
  Tools for diagnostics and assessment of (machine learning) models
  ☆25Updated last month