Alternatives and similar repositories for lspin

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

• ykwon0407 / beta_shapley
  Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
  ☆41Updated 2 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• aniruddhraghu / meta-pretraining
  Code accompanying paper: Meta-Learning to Improve Pre-Training
  ☆37Updated 3 years ago
• js-d / sim_metric
  ☆36Updated last year
• HazyResearch / model-patching
  Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
  ☆42Updated 4 years ago
• yaohungt / Pointwise_Dependency_Neural_Estimation
  ☆20Updated 5 years ago
• kakaobrain / irm-empirical-study
  An Empirical Study of Invariant Risk Minimization
  ☆27Updated 5 years ago
• csinva / mdl-complexity
  MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".
  ☆18Updated 2 years ago
• RuntianZ / doro
  Distributional and Outlier Robust Optimization (ICML 2021)
  ☆27Updated 4 years ago
• stanislavfort / adversaries_to_OOD_detection
  ☆12Updated 2 years ago
• jsyoon0823 / INVASE
  Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR
  ☆62Updated 5 years ago
• zackchase / label_shift
  A simple algorithm to identify and correct for label shift.
  ☆21Updated 7 years ago
• dmitrykazhdan / concept-based-xai
  Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
  ☆55Updated 2 years ago
• AMLab-Amsterdam / DataAugmentationInterventions
  ☆27Updated 4 years ago
• google-deepmind / ssl_hsic
  ☆37Updated 11 months ago
• cambridge-mlg / CLUE
  Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
  ☆35Updated last year
• sjunhongshen / DASH
  ☆23Updated 2 years ago
• izmailovpavel / spurious_feature_learning
  ☆45Updated 2 years ago
• YujiaBao / Predict-then-Interpolate
  "Predict, then Interpolate: A Simple Algorithm to Learn Stable Classifiers" ICML 2021
  ☆18Updated 4 years ago
• AI-secure / multi-task-learning
  Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…
  ☆68Updated 3 years ago
• OATML / ucate
  Uncertainty in Conditional Average Treatment Effect Estimation
  ☆33Updated 4 years ago
• AmanDaVinci / SENN
  Self-Explaining Neural Networks
  ☆42Updated 5 years ago
• remilepriol / causal-adaptation-speed
  Investigate the speed of adaptation of structural causal models
  ☆15Updated 4 years ago
• facebookresearch / BalancingGroups
  Simple data balancing baselines for worst-group-accuracy benchmarks.
  ☆42Updated last year
• singhgautam / snp
  This is the official source code for Sequential Neural Processes.
  ☆40Updated 2 years ago
• jiamings / ml-cpc
  ☆36Updated 4 years ago
• alexrame / diwa
  DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
  ☆31Updated 2 years ago
• JonasGeiping / dataaugs
  ☆18Updated 2 years ago
• mtsang / interaction_interpretability
  Feature Interaction Interpretability via Interaction Detection
  ☆34Updated 2 years ago
• haebeom-lee / metadrop
  Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)
  ☆27Updated 5 years ago