Alternatives and similar repositories for LPWC

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

• alexhallam / TensorFlow-Survival-Analysis
  Making survival analysis work in TensorFlow
  ☆19Updated 8 years ago
• rikenbit / nnTensor
  R package for Non-negative Tensor Decomposition
  ☆20Updated last year
• KlugerLab / oocPCA
  Out-of-Core Principal Component Analysis
  ☆19Updated 7 years ago
• junyzhou10 / MetaLearners
  The package is developed for treatment recommendation & pairwise treatment individual effect estimation (ITE/CATE/HTE) when multiple trea…
  ☆11Updated 2 years ago
• gwgundersen / dpcca
  Code for the paper "End-to-end training of deep probabilistic CCA on paired biomedical observations".
  ☆28Updated 4 years ago
• jiagengjie / Estimating-Genetic-Parameters
  ☆10Updated 4 years ago
• jsilve24 / stray
  Stray has been renamed fido, development continues at jsilve24/fido
  ☆23Updated 3 years ago
• Voineagulab / TDAview
  A graph visualisation tool targeted at persistent homology applications.
  ☆11Updated 5 years ago
• FrankD / fuser
  Fused lasso for high-dimensional regression over groups
  ☆10Updated 7 years ago
• bdwilliamson / vimp
  Perform inference on algorithm-agnostic variable importance
  ☆24Updated 2 months ago
• nyiuab / BhGLM
  BhGLM (Bayesian hierarchical GLMs and survival models)
  ☆21Updated last year
• TammoR / LogicalFactorisationMachines
  ☆21Updated 6 years ago
• ppsp-team / StratiPy
  Graph regularized nonnegative matrix factorization (GNMF) in Python
  ☆46Updated 5 years ago
• Teichlab / RCA
  Residual Component Analysis
  ☆10Updated 8 years ago
• david-cortes / poismf
  (Python, R, C) Poisson matrix factorization (non-Bayesian version) (recommender systems)
  ☆47Updated 7 months ago
• mlampros / FeatureSelection
  Feature Selection in R using glmnet-lasso, xgboost and ranger
  ☆56Updated last year
• mims-harvard / fusenet
  Network inference by fusing data from diverse distributions
  ☆14Updated 9 years ago
• kundajelab / seqdataloader
  Sequence data label generation and ingestion into deep learning models
  ☆11Updated 4 years ago
• raivokolde / RobustRankAggreg
  R implementation of Robust Rank Aggregation algortihm
  ☆11Updated 3 years ago
• dkobak / tsne-umap-init
  Initialization is critical for preserving global data structure in both t-SNE and UMAP
  ☆24Updated 4 years ago
• judyboon / BASS
  A Bayesian group factor model with structured sparsity
  ☆22Updated 9 years ago
• hofnerb / stabs
  Stability Selection with Error Control
  ☆26Updated 4 years ago
• ramzan1990 / sequence2vec
  ☆21Updated 8 years ago
• Mamba413 / Ball
  Statistical Inference and Sure Independence Screening via Ball Statistics
  ☆32Updated 5 months ago
• skdeshpande91 / VCBART
  R implementation of VCBART
  ☆22Updated last week
• msesia / deepknockoffs
  Approximate knockoffs and model-free variable selection.
  ☆56Updated 4 years ago
• idc9 / py_jive
  A data analysis package for high-dimensional, multi-block data.
  ☆12Updated 3 years ago
• erichson / spca
  Sparse Principal Component Analysis (SPCA) using Variable Projection
  ☆71Updated 7 years ago
• elbamos / clusteringdatasets
  An R package providing datasets useful for testing clustering algorithms
  ☆16Updated 7 years ago
• barbarabodinier / sharp
  R package sharp (Stability-enHanced Approaches using Resampling Procedures).
  ☆15Updated 4 months ago