Alternatives and similar repositories for DeepLINK:

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

• clinicalml / proxy-anchor-regression
  Code for ICML 2021 paper "Regularizing towards Causal Invariance: Linear Models with Proxies" (ICML 2021)
  ☆11Updated 2 years ago
• ahmedmalaa / discriminative-jackknife
  Codebase for "Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions", ICML 2020.
  ☆8Updated 4 years ago
• lmotte / graph-prediction-with-fused-gromov-wasserstein
  Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 using PyTorch library and POT…
  ☆13Updated 2 years ago
• blengerich / Personalized_Regression
  Personalized Regression
  ☆15Updated 5 years ago
• rajesh-lab / ddlk
  Deep direct likelihood knockoffs
  ☆11Updated 3 years ago
• clarafy / conformal-for-design
  ☆30Updated 2 years ago
• hyhuang00 / scRNA-DR2020
  Code repository for the paper "Towards a Comprehensive Evaluation of Dimension Reduction Methods for Data Visualization"
  ☆11Updated 6 months ago
• BorgwardtLab / JointMDS
  Official implementation of Joint Multidimensional Scaling
  ☆22Updated last year
• chl8856 / SEFS
  Codebase for SEFS: Self-Supervision Enhanced Feature Selection with Correlated Gates
  ☆23Updated last year
• msesia / arc
  Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems
  ☆31Updated last year
• KrishnaswamyLab / MIOFlow
  ☆21Updated last week
• gwgundersen / dpcca
  Code for the paper "End-to-end training of deep probabilistic CCA on paired biomedical observations".
  ☆25Updated 3 years ago
• BorisMuzellec / MissingDataOT
  A Pytorch implementation of missing data imputation using optimal transport.
  ☆94Updated 3 years ago
• ratschlab / SVGP-VAE
  Tensorflow implementation for the SVGP-VAE model.
  ☆21Updated 3 years ago
• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆31Updated 3 years ago
• azizilab / sdcd
  Stable Differentiable Causal Discovery (SDCD)
  ☆18Updated 7 months ago
• thibsej / unbalanced_gromov_wasserstein
  Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport
  ☆43Updated last year
• csquires / linear-causal-disentanglement-via-interventions
  ☆10Updated 10 months ago
• vislearn / GIN
  Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)
  ☆32Updated 3 years ago
• ahmedmalaa / evaluating-generative-models
  ☆19Updated last year
• causalbench / causalbench
  ☆35Updated 2 months ago
• nerdslab / latentOT
  Latent optimal transport (LOT) for low rank transport and clustering
  ☆19Updated 3 years ago
• lazaratan / dyn-gfn
  DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks
  ☆51Updated 10 months ago
• MLforHealth / ClinicalDG
  An Empirical Framework for Domain Generalization In Clinical Settings
  ☆29Updated 2 years ago
• daifengwanglab / JAMIE
  Joint variational Autoencoders for Multimodal Imputation and Embedding (JAMIE)
  ☆27Updated 4 months ago
• trneedham / Spectral-Gromov-Wasserstein
  Graph matching and clustering by comparing heat kernels via optimal transport.
  ☆26Updated 2 years ago
• KrishnaswamyLab / DiffusionEMD
  Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings
  ☆35Updated last month
• ermongroup / BCD-Nets
  Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021
  ☆24Updated 3 years ago
• gemoran / sparse-vae-code
  ☆31Updated 2 years ago
• GGchen1997 / BDI
  This repository is the official implementation of Bidirectional Learning for Offline Infinite-width Model-based Optimization (NeurIPS 202…
  ☆15Updated 2 years ago