Alternatives and similar repositories for realx

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

• XintianHan / Survival-MDN
  ☆13Updated 3 years ago
• clinicalml / learn-to-defer
  Code for "Consistent Estimators for Learning to Defer to an Expert" (ICML 2020)
  ☆13Updated 2 years ago
• x-y-zhao / BayLime
  bayesian lime
  ☆17Updated last year
• donato-maragno / robust-CE
  Generate robust counterfactual explanations for machine learning models
  ☆16Updated 2 years ago
• hrna-ox / camelot-icml
  Code for submission XXXX
  ☆11Updated 2 years ago
• JurijsNazarovs / panel_me_ode
  Official repository of the paper "A Variational Approximation for Analyzing the Dynamics of Panel Data". Mixed Effect Neural ODE. UAI 202…
  ☆8Updated 3 years ago
• HelmholtzAI-Consultants-Munich / PySDDR
  A python package for semi-structured deep distributional regression
  ☆22Updated 2 years ago
• ZhengzeZhou / slime
  ☆17Updated 2 years ago
• clinicalml / teaching-to-understand-ai
  Code and webpages for our study on teaching humans to defer to an AI
  ☆11Updated last year
• vanderschaarlab / DECAF
  DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
  ☆21Updated last month
• ahmedmalaa / discriminative-jackknife
  Codebase for "Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions", ICML 2020.
  ☆9Updated 5 years ago
• JHoelli / TSEvo
  "TSEvo: Counterfactuals for Time Series Classification" accepted at ICMLA '22.
  ☆14Updated 2 years ago
• jiaqima / SODEN
  SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks
  ☆13Updated 2 years ago
• mymakar / causally_motivated_shortcut_removal
  ☆15Updated 2 years ago
• SeyoungKimLab / DMGP
  Official Implementation of "Doubly Mixed-Effects Gaussian Process Regression" (Jun Ho Yoon, Daniel P. Jeong, Seyoung Kim) (AISTATS 2022, …
  ☆12Updated 3 years ago
• ZebinYang / exnn
  Enhanced Explainable Neural Network
  ☆10Updated 3 years ago
• MachineLearningBCAM / MRCpy
  A Library for Minimax Risk Classifiers
  ☆31Updated last year
• hmorioka / CCL
  Connectivity-contrastive learning (CCL)
  ☆10Updated 2 years ago
• a-lucic / focus
  ☆16Updated 3 years ago
• dh7401 / T-Cal
  ☆10Updated 3 years ago
• omarbahri / SETS
  ☆8Updated last year
• ykwon0407 / fast_dist_shapley
  Efficient Computation and Analysis of Distributional Shapley Values (AISTATS 2021)
  ☆22Updated last year
• siplab-gt / generative-causal-explanations
  Code for "Generative causal explanations of black-box classifiers"
  ☆34Updated 4 years ago
• JonathanCrabbe / Symbolic-Pursuit
  Github for the NIPS 2020 paper "Learning outside the black-box: at the pursuit of interpretable models"
  ☆15Updated 2 years ago
• mingzhang-yin / CoCo
  An optimization-based algorithm to accurately estimate the causal effects and robustly predict under distribution shifts. It leverages th…
  ☆14Updated last year
• AmrMKayid / nam
  Neural Additive Models (Google Research)
  ☆71Updated 3 years ago
• mlfoundations / tableshift
  A benchmark for distribution shift in tabular data
  ☆55Updated last year
• MLforHealth / CausalDA
  Causal data augmentation for pretraining debiasing
  ☆11Updated 3 years ago
• MLforHealth / ClinicalDG
  An Empirical Framework for Domain Generalization In Clinical Settings
  ☆31Updated 3 years ago
• juankuntz / ParEM
  Code for "Particle algorithms for maximum likelihood training of latent variable models" (Kuntz, Lim, Johansen, AISTATS, 2023).
  ☆9Updated 2 years ago