Alternatives and similar repositories for approxcdf

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

• tblume1992 / Seance
  Wrapper around MLForecast for more plug and play forecasting
  ☆10Updated 2 years ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆44Updated last month
• WenxinZhou / conquer
  Convolution Smoothed Quantile Regression
  ☆18Updated last year
• lorismichel / drf
  Distributional Random Forests (Cevid et al., 2020)
  ☆45Updated 2 years ago
• alisaab / l0bnb
  Solves the best subset selection problem
  ☆45Updated 3 years ago
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆30Updated 3 years ago
• lee-group-cmu / RFCDE
  Random Forests for Conditional Density Estimation
  ☆43Updated 4 years ago
• jessegrabowski / statespace-presentation
  Presentation materials for PyMC Statespace
  ☆25Updated last year
• simon-hirsch / ondil
  A package for online distributional learning.
  ☆26Updated this week
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆51Updated 8 months ago
• ZebinYang / gaminet
  Generalized additive model with pairwise interactions
  ☆66Updated last year
• lanl / pyBASS
  Bayesian Adaptive Spline Surfaces for flexible and automatic regression
  ☆25Updated last month
• jbrowell / ProbCast
  ProbCast: an R Package for Flexible Probabilistic Forecasting
  ☆33Updated last year
• martiningram / mcmc_runtime_comparison
  Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis
  ☆33Updated 2 years ago
• jessegrabowski / pymc_statespace
  A system for Bayesian estimation of state space models using PyMC
  ☆36Updated 4 months ago
• StatMixedML / DGBM
  Distributional Gradient Boosting Machines
  ☆27Updated 2 years ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years ago
• multi-objective / moocore
  Core Mathematical Functions for Multi-Objective Optimization
  ☆31Updated this week
• msesia / conditional-conformal-pvalues
  Conditional calibration of conformal p-values for outlier detection.
  ☆36Updated 3 years ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated 3 months ago
• PrincetonLIPS / mf-bocd
  Active multi-fidelity Bayesian online changepoint detection.
  ☆18Updated 4 years ago
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆59Updated 8 months ago
• felipeangelimvieira / prophetverse
  A multiverse of Prophet models for timeseries
  ☆68Updated 3 weeks ago
• wesselb / stheno
  Gaussian process modelling in Python
  ☆225Updated 11 months ago
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆119Updated 2 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆51Updated 4 years ago
• AngelPone / pyhts
  A python package for hierarchical forecasting, inspired by hts package in R.
  ☆29Updated 9 months ago
• yaronshap / GloballyConsistentRules
  Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…
  ☆25Updated 3 years ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆73Updated last year