Alternatives and similar repositories for celer

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

• scikit-learn-contrib / skglm
  Fast and modular sklearn replacement for generalized linear models
  ☆184Updated 3 weeks ago
• yngvem / group-lasso
  Group Lasso implementation following the scikit-learn API
  ☆107Updated last year
• statistical-python / yaglm
  A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-conve…
  ☆58Updated 2 years ago
• vnmabus / dcor
  Distance correlation and related E-statistics in Python
  ☆158Updated last year
• benchopt / benchopt
  Making your benchmark of optimization algorithms simple and open
  ☆273Updated this week
• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆248Updated 4 months ago
• pafoster / pyitlib
  A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.
  ☆99Updated 5 months ago
• GAA-UAM / scikit-fda
  Functional Data Analysis Python package
  ☆336Updated last week
• alvaromc317 / asgl
  A regression solver for high dimensional penalized linear, quantile and logistic regression models'
  ☆91Updated 3 months ago
• wesselb / stheno
  Gaussian process modelling in Python
  ☆224Updated 10 months ago
• scikit-hep / resample
  Randomization-based inference in Python
  ☆84Updated this week
• eth-cscs / abcpy
  ABCpy package
  ☆116Updated last year
• erichson / ristretto
  Randomized Dimension Reduction Library
  ☆117Updated 4 years ago
• neurodata / SPORF
  This is the implementation of Sparse Projection Oblique Randomer Forest
  ☆101Updated last year
• neurodata / treeple
  Scikit-learn compatible decision trees beyond those offered in scikit-learn
  ☆85Updated last week
• dganguli / robust-pca
  A simple Python implementation of R-PCA
  ☆247Updated 2 years ago
• jmschrei / torchegranate
  A temporary repository hosting a pomegranate re-write using PyTorch as the backend.
  ☆72Updated 2 years ago
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆68Updated 9 months ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated 2 months ago
• pierrebaudot / infotopopy
  computes most of information functions (joint entropy, conditional, mutual information, total correlation information distance) and deep …
  ☆37Updated 3 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆232Updated 4 years ago
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆176Updated 3 years ago
• janezd / baycomp
  ☆74Updated last year
• Yu-Group / veridical-flow
  Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.
  ☆71Updated last year
• pmelchior / proxmin
  Proximal optimization in pure python
  ☆118Updated 3 years ago
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆56Updated 3 weeks ago
• FalkonML / falkon
  Large-scale, multi-GPU capable, kernel solver
  ☆191Updated 3 months ago
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆283Updated last week
• openopt / copt
  A Python library for mathematical optimization
  ☆141Updated last year
• jakevdp / wpca
  Weighted Principal Component Analysis (PCA) in Python
  ☆161Updated 7 years ago