Alternatives and similar repositories for evaluating-generative-models

Users that are interested in evaluating-generative-models are comparing it to the libraries listed below

• msesia / conditional-conformal-pvalues
  Conditional calibration of conformal p-values for outlier detection.
  ☆38Updated 3 years ago
• jjcherian / conditional-conformal
  A package for conformal prediction with conditional guarantees.
  ☆67Updated 3 months ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆29Updated 5 years ago
• aangelopoulos / conformal-risk
  Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…
  ☆75Updated 3 years ago
• msesia / arc
  Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems
  ☆33Updated 3 years ago
• aangelopoulos / private_prediction_sets
  Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.
  ☆18Updated last year
• charmlab / recourse
  Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831
  ☆37Updated 3 years ago
• aangelopoulos / ltt
  Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
  ☆73Updated last year
• yuachen / CausalDA
  Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…
  ☆18Updated 4 years ago
• AstraZeneca / awesome-shapley-value
  Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
  ☆154Updated 3 years ago
• ProgBelarus / MultiValidPrediction
  ☆14Updated 3 years ago
• hsouri / BayesianTransferLearning
  ☆112Updated 3 years ago
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆129Updated 3 years ago
• dobriban / Topics-In-Modern-Statistical-Learning
  Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…
  ☆178Updated last year
• iancovert / shapley-regression
  For calculating Shapley values via linear regression.
  ☆73Updated 4 years ago
• AIgen / df-posthoc-calibration
  Model-agnostic posthoc calibration without distributional assumptions
  ☆42Updated 2 years ago
• SelfExplainML / Aletheia
  A Python package for unwrapping ReLU DNNs
  ☆68Updated 2 years ago
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆105Updated 2 years ago
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆77Updated last year
• yannadani / cbed
  Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.
  ☆20Updated 3 years ago
• jjcherian / fairaudit
  Statistical inference for fairness auditing
  ☆14Updated 2 years ago
• AmrMKayid / nam
  Neural Additive Models (Google Research)
  ☆74Updated 4 years ago
• SamsungSAILMontreal / ForestDiffusion
  Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models
  ☆177Updated last year
• tijana-zrnic / active-inference
  ☆18Updated last year
• ProgBelarus / BatchMultivalidConformal
  ☆16Updated 3 years ago
• aangelopoulos / rcps
  Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"
  ☆88Updated 2 years ago
• dandls / moc
  Multi-Objective Counterfactuals
  ☆43Updated 3 years ago
• bradyneal / causal-book-code
  ☆81Updated 5 years ago
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆59Updated 4 years ago
• msesia / deepknockoffs
  Approximate knockoffs and model-free variable selection.
  ☆57Updated 4 years ago