Alternatives and similar repositories for ddlk:

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

• zifanzhu / DeepLINK
  Deep Large-Scale Inference UsingKnockoffs
  ☆11Updated 3 years ago
• MLforHealth / ClinicalDG
  An Empirical Framework for Domain Generalization In Clinical Settings
  ☆30Updated 3 years ago
• ahmedmalaa / evaluating-generative-models
  ☆21Updated 2 years ago
• gevaertlab / metalearning_survival
  ☆15Updated 4 years ago
• msesia / arc
  Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems
  ☆31Updated 2 years ago
• zhangxiaoyu11 / OmiTrans
  The first GANs-based omics-to-omics translation framework
  ☆12Updated last year
• georgehc / dksa
  Deep Kernel Survival Analysis and Subject-Specific Survival Time Prediction Intervals
  ☆13Updated 3 years ago
• dylan-slack / Modeling-Uncertainty-Local-Explainability
  Local explanations with uncertainty 💐!
  ☆40Updated last year
• msesia / deepknockoffs
  Approximate knockoffs and model-free variable selection.
  ☆54Updated 3 years ago
• clinicalml / proxy-anchor-regression
  Code for ICML 2021 paper "Regularizing towards Causal Invariance: Linear Models with Proxies" (ICML 2021)
  ☆11Updated 3 years ago
• chl8856 / DeepIMV
  A Variational Information Bottleneck Approach to Multi-Omics Data Integration
  ☆22Updated 3 years ago
• KrishnaswamyLab / MIOFlow
  ☆23Updated 3 months ago
• TUM-DAML / dbu-robustness
  Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)
  ☆28Updated 2 years ago
• bunnech / jkonet
  Proximal Optimal Transport Modeling of Population Dynamics (AISTATS 2022)
  ☆17Updated last year
• daifengwanglab / JAMIE
  Joint variational Autoencoders for Multimodal Imputation and Embedding (JAMIE)
  ☆28Updated last month
• i6092467 / vadesc
  A probabilistic model to cluster survival data in a variational deep clustering setting
  ☆30Updated 2 years ago
• cianeastwood / qrm
  Quantile risk minimization
  ☆24Updated 8 months ago
• thibsej / unbalanced_gromov_wasserstein
  Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport
  ☆44Updated 2 years ago
• gwgundersen / dpcca
  Code for the paper "End-to-end training of deep probabilistic CCA on paired biomedical observations".
  ☆25Updated 3 years ago
• cyz-ai / infomin
  Official codes for Scalable Infomin Learning, NeurIPS 2022
  ☆13Updated 2 years ago
• YyzHarry / SubpopBench
  [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
  ☆108Updated last year
• clarafy / conformal-for-design
  ☆30Updated 2 years ago
• causalbench / causalbench
  ☆40Updated 5 months ago
• aangelopoulos / ltt
  Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
  ☆66Updated 5 months ago
• ratschlab / SVGP-VAE
  Tensorflow implementation for the SVGP-VAE model.
  ☆22Updated 3 years ago
• YannDubs / SSL-Risk-Decomposition
  Benchmark and analysis of 165 pretrained SSL models. Code for "Evaluating Self-Supervised Learning via Risk Decomposition".
  ☆14Updated last year
• Genentech / dcdfg
  ☆24Updated 2 years ago
• KevinMoonLab / GRAE
  Geometry Regularized Autoencoders (GRAE) for large-scale visualization and manifold learning
  ☆22Updated last year
• suinleelab / vit-shapley
  ☆33Updated 9 months ago
• oscarkey / explanations-by-minimizing-uncertainty
  Code for "Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties"
  ☆18Updated 3 years ago