Alternatives and similar repositories for orange3-conformal

Users that are interested in orange3-conformal are comparing it to the libraries listed below

• bhmm / bhmm
  Bayesian hidden Markov models toolkit
  ☆47Updated 5 years ago
• udellgroup / pyglrm
  The Python wrapper for LowRankModels.jl.
  ☆15Updated 6 years ago
• datavaluepeople / kotsu
  Lightweight framework for structured and repeatable model validation
  ☆12Updated last month
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 4 years ago
• gregversteeg / LinearCorex
  Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…
  ☆43Updated 4 years ago
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 10 years ago
• gregversteeg / gaussianize
  Transforms univariate data into normally distributed data
  ☆77Updated 3 years ago
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 8 years ago
• ralphhaygood / sklearn-gbmi
  scikit-learn gradient-boosting-model interactions
  ☆25Updated 2 years ago
• sgubianpm / sdaopt
  Simulated Dual Annealing for python and benchmarks
  ☆15Updated 6 years ago
• mgorinova / autoreparam
  Automatic Reparameterisation of Probabilistic Programs
  ☆36Updated 5 years ago
• lmcinnes / sstsne
  Semi-Supervised t-SNE using a Bayesian prior based on partial labelling
  ☆42Updated 9 years ago
• chlubba / op_importance
  Compute set of important operations for HCTSA code
  ☆27Updated 5 years ago
• alexfields / multiisotonic
  Multidimensional isotonic regression
  ☆28Updated 8 years ago
• modusdatascience / glm-sklearn
  Some scikit-learn-esque wrappers for statsmodels GLM
  ☆23Updated 12 years ago
• AlexIoannides / pymc-stochastic-process
  Bayesian Inference and parameter estimation in quant finance.
  ☆43Updated 6 years ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆62Updated 8 years ago
• c-martinez / pydescriptors
  Python implementation of various 2D and 3D compactness measures.
  ☆10Updated 3 years ago
• mthorrell / gbnet
  Gradient Boosting Modules for PyTorch
  ☆53Updated last month
• mpacer / Causal-Bayesian-NetworkX
  This is a set of utilities and formats that illustrate how one could begin to perform operations on causal graphs and sample over these g…
  ☆26Updated 10 years ago
• ksanjeevan / mapper-tda
  Mapper implementation (Topological Data Analysis) in Python
  ☆63Updated 7 years ago
• wwrechard / pydlm-lite
  The lite version of the package pydlm. A lite yet powerful Bayesian dynamic modeling library
  ☆12Updated 7 years ago
• benfulcher / hctsa_python
  Initial attempt to incorporate some time-series analysis features from hctsa into python land
  ☆28Updated 9 years ago
• cfusting / fast-symbolic-regression
  Blazing fast symbolic regresison
  ☆76Updated 6 years ago
• neurodata / SPORF
  This is the implementation of Sparse Projection Oblique Randomer Forest
  ☆101Updated last year
• giotto-ai / noise-to-signal
  How to use topology to decode binary signals in high-noise regimes.
  ☆18Updated 5 years ago
• LBBSoft / FeatureSelect
  FeatureSelect
  ☆23Updated 6 years ago
• blue-yonder / pydse
  Python package for dynamic system estimation of time series
  ☆40Updated 5 years ago
• ebonilla / AutoGP
  Code for AutoGP
  ☆27Updated 6 years ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆123Updated 3 years ago