Alternatives and similar repositories for cluster_power:

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

• paul-buerkner / LFO-CV-paper
  ☆14Updated 4 years ago
• slds-lmu / paper_2019_iml_measures
  Quantifying Interpretability of Arbitrary Machine Learning Models Through Functional Decomposition
  ☆16Updated 5 years ago
• k3jph / cmna-pkg
  Computational Methods for Numerical Analysis
  ☆16Updated last year
• cavaunpeu / gaussian-processes
  A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.
  ☆16Updated 6 years ago
• bvegetabile / entbal
  An Alternative Implementation of Entropy Balancing Weights For Estimating Causal Effects
  ☆10Updated 3 years ago
• wesselb / oilmm
  Implementation of the Orthogonal Instantaneous Linear Mixing Model
  ☆9Updated 2 years ago
• IIT-LAND / reval_clustering
  ☆29Updated 3 years ago
• paobranco / Pre-processingApproachesImbalanceRegression
  Pre-processing Approaches for Imbalanced Distributions in Regression
  ☆11Updated 4 years ago
• jajcayn / pygpso
  Gaussian-Processes Surrogate Optimisation in python
  ☆19Updated 3 years ago
• aboulaboul / automl
  Deep Learning with Metaheuristic
  ☆28Updated 5 years ago
• chlubba / op_importance
  Compute set of important operations for HCTSA code
  ☆26Updated 5 years ago
• insilico / stir
  STatistical Inference Relief
  ☆11Updated 6 years ago
• mlampros / KernelKnn
  Kernel k Nearest Neighbors in R
  ☆17Updated 2 years ago
• hanase / BMA
  R package for Bayesian model averaging
  ☆38Updated 3 months ago
• BouchardLab / pyuoi
  The Union of Intersections Framework in Python
  ☆14Updated this week
• ASPP / ASPP-2018-dataviz
  Material for the Advanced Scientific Programming in Python course on data visualization
  ☆17Updated 6 years ago
• nanxstats / msaenet
  🧲 Multi-step adaptive estimation for reducing false positive selection in sparse regressions
  ☆13Updated 9 months ago
• darrenjw / smfsb
  Documentation, models and code relating to the 3rd edition of the textbook Stochastic Modelling for Systems Biology
  ☆32Updated 2 months ago
• itsrainingdata / sparsebn
  Software for learning sparse Bayesian networks
  ☆43Updated 4 years ago
• almost-matching-exactly / R-FLAME
  R Implementation of FLAME, DAME, and other algorithms in the AME framework
  ☆12Updated 2 years ago
• luca590 / High-Dimensional-Statistics
  PCA, Factor Analysis, CCA, Sparse Covariance Matrix Estimation, Imputation, Multiple Hypothesis Testing
  ☆10Updated 3 years ago
• ska-sa / scikits.fitting
  ☆14Updated last year
• Bo-Ning / Bayesian-multivariate-time-series-causal-inference
  R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''
  ☆46Updated 4 years ago
• pymc-learn / pymc-learn-book
  Book: Practical Probabilistic Machine Learning in Python
  ☆10Updated 4 years ago
• kisungyou / CovTools
  Statistical Tools for Covariance Analysis
  ☆14Updated last year
• njnmco / hopticulate
  Reticulate wrapper for hyperopt
  ☆11Updated 5 years ago
• stephenbates19 / nestedcv
  Nested cross-validation for accurate confidence intervals for prediction error.
  ☆41Updated 2 years ago
• kcf-jackson / maniTools
  R package: Manifold learning in R
  ☆13Updated 5 years ago
• regreg / regreg
  A multi-algorithm Python framework for regularized regression
  ☆13Updated last year
• tlverse / tmle3mopttx
  🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention
  ☆13Updated 2 years ago