Alternatives and similar repositories for proxy-anchor-regression:

Users that are interested in proxy-anchor-regression are comparing it to the libraries listed below

• zifanzhu / DeepLINK
  Deep Large-Scale Inference UsingKnockoffs
  ☆11Updated 3 years ago
• bdwilliamson / vimpy
  Perform inference on algorithm-agnostic variable importance in Python
  ☆20Updated 2 years ago
• dmilios / dirichletGPC
  ☆17Updated 6 years ago
• MLforHealth / ClinicalDG
  An Empirical Framework for Domain Generalization In Clinical Settings
  ☆29Updated 2 years ago
• jmkuebler / auto-tst
  AutoML Two-Sample Test
  ☆19Updated 2 years ago
• aangelopoulos / private_prediction_sets
  Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.
  ☆17Updated 11 months ago
• georgehc / dksa
  Deep Kernel Survival Analysis and Subject-Specific Survival Time Prediction Intervals
  ☆14Updated 3 years ago
• wiseodd / bayesian_ood_training
  ☆9Updated last year
• ahmedmalaa / evaluating-generative-models
  ☆20Updated last year
• guanghelee / iclr20-locally-constant-nets
  "Oblique Decision Trees from Derivatives of ReLU Networks" (ICLR 2020, previously called "Locally Constant Networks")
  ☆21Updated 3 years ago
• i6092467 / vadesc
  A probabilistic model to cluster survival data in a variational deep clustering setting
  ☆30Updated 2 years ago
• lmz123321 / which_invariance
  Official implementation for ICML23 paper: Which Invariance Should We Transfer? A Causal Minimax Learning Approach
  ☆11Updated 8 months ago
• rajesh-lab / deep_permutation_invariant
  Code accompanying paper "Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets."
  ☆19Updated 2 years ago
• yuachen / CausalDA
  Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…
  ☆18Updated 3 years ago
• MLforHealth / MIMIC_Generalisation
  Code to study the generalisability of benchmark models on non-stationary EHRs.
  ☆14Updated 5 years ago
• uhlerlab / conditional_independence
  Parametric and non-parametric conditional independence testing.
  ☆10Updated 4 years ago
• gwgundersen / rflvm
  Random feature latent variable models in Python
  ☆22Updated last year
• msesia / arc
  Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems
  ☆31Updated 2 years ago
• neurodata / df-dn-paper
  Conceptual & empirical comparisons between decision forests & deep networks
  ☆17Updated 4 months ago
• rpatrik96 / nl-causal-representations
  This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…
  ☆17Updated 5 months ago
• cambridge-mlg / CLUE
  Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
  ☆35Updated 9 months ago
• Pacmed / ehr_ood_detection
  Pacmed Labs experiments on uncertainty estimation, focusing on unbalanced tabular data and classification tasks.
  ☆21Updated 3 years ago
• barahona-research-group / ICE-NODE
  Integration of Clinical Embeddings with Neural ODEs
  ☆10Updated last month
• jcreinhold / counterfactualms
  counterfactuals for magnetic resonance images of multiple sclerosis
  ☆26Updated 3 years ago
• dbenielli / scikit-multimodallearn
  This Python package implements algorithms for multiviews (multimodals) learning
  ☆14Updated 4 months ago
• stanfordmlgroup / cdr-mimic
  Official Repository for our UAI paper Countdown Regression on the MIMIC-III Dataset
  ☆18Updated 5 years ago
• rgklab / detectron
  Official repository for the ICLR 2023 paper "A Learning Based Hypothesis Test for Harmful Covariate Shift"
  ☆12Updated last year
• vanderschaarlab / Interpretability
  Resources for Machine Learning Explainability
  ☆73Updated 5 months ago
• jiaqima / SODEN
  SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks
  ☆13Updated last year
• google-research / interpretability-theory
  ☆26Updated last year