Alternatives and similar repositories for knockpy

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

• msesia / deepknockoffs
  Approximate knockoffs and model-free variable selection.
  ☆55Updated 3 years ago
• uhlerlab / causaldag
  Python package for the creation, manipulation, and learning of Causal DAGs
  ☆152Updated 2 years ago
• BasisResearch / millipede
  A library for bayesian variable selection
  ☆29Updated 5 months ago
• fabian-sp / GGLasso
  A Python package for General Graphical Lasso computation
  ☆35Updated 4 months ago
• causalbench / causalbench
  ☆44Updated last month
• clarafy / conformal-for-design
  ☆31Updated 2 years ago
• berenslab / ne-spectrum
  Attraction-Repulsion Spectrum in Neighbor Embeddings
  ☆31Updated 2 years ago
• Genentech / dcdfg
  ☆25Updated 2 years ago
• azizilab / sdcd
  Stable Differentiable Causal Discovery (SDCD)
  ☆22Updated last year
• bdwilliamson / vimpy
  Perform inference on algorithm-agnostic variable importance in Python
  ☆20Updated 3 years ago
• riken-aip / pyHSICLasso
  Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
  ☆185Updated 3 years ago
• andrewcharlesjones / pcpca
  Probabilistic contrastive principal component analysis (PCPCA)
  ☆24Updated 3 years ago
• gemoran / sparse-vae-code
  ☆32Updated 2 years ago
• sciai-lab / cl-tsne-umap
  ☆33Updated 2 months ago
• Genentech / nodags-flows
  ☆11Updated last year
• abidlabs / contrastive
  Contrastive PCA
  ☆214Updated 8 months ago
• msesia / knockoff-filter
  A versatile interface to the knockoff methodology.
  ☆25Updated 3 years ago
• stefangroha / SurvNODE
  ☆18Updated 4 years ago
• alexisbellot / Graphical-modelling-continuous-time
  Graphical modelling with time series data using an ODE model
  ☆10Updated 3 years ago
• cbg-ethz / SGS
  Inference in Bayesian Networks with R
  ☆12Updated 2 years ago
• msesia / arc
  Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems
  ☆31Updated 2 years ago
• Yu-Group / veridical-flow
  Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.
  ☆71Updated last year
• HelmholtzAI-Consultants-Munich / PySDDR
  A python package for semi-structured deep distributional regression
  ☆22Updated 2 years ago
• RECOVERcoalition / Recover
  Exploring the space of drug combinations to discover synergistic drugs using Active Learning
  ☆24Updated 11 months ago
• berenslab / contrastive-ne
  Contrastive neighbor embeddings
  ☆54Updated 4 months ago
• KrishnaswamyLab / graphtools
  Tools for building and manipulating graphs in Python
  ☆41Updated 3 weeks ago
• haiderstats / ISDEvaluation
  Code to pair with the paper "Effective Ways to Build and Evaluate Individual Survival Distributions".
  ☆22Updated 3 years ago
• uhlerlab / actlearn_optint
  Active learning for optimal intervention design in causal models
  ☆16Updated last year
• zifanzhu / DeepLINK
  Deep Large-Scale Inference UsingKnockoffs
  ☆11Updated 3 years ago
• Leo-Simpson / c-lasso
  c-lasso: a Python package for constrained sparse regression and classification
  ☆32Updated 4 years ago