Alternatives and similar repositories for crust

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

• HazyResearch / model-patching
  Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
  ☆42Updated 4 years ago
• snap-stanford / comet
  [ICLR 2021] Concept Learners for Few-Shot Learning
  ☆115Updated 2 years ago
• stanford-futuredata / sinkhorn-label-allocation
  Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…
  ☆53Updated 4 years ago
• yaohungt / Barlow-Twins-HSIC
  ☆58Updated 3 years ago
• henrikmarklund / arm
  ☆84Updated last year
• alexrame / fishr
  Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization
  ☆87Updated 3 years ago
• mpezeshki / Gradient_Starvation
  Gradient Starvation: A Learning Proclivity in Neural Networks
  ☆61Updated 4 years ago
• fmu2 / gradfeat20
  Gradients as Features for Deep Representation Learning
  ☆43Updated 5 years ago
• Newbeeer / Max-MIG
  Code for ICLR 2019 Paper, "MAX-MIG: AN INFORMATION THEORETIC APPROACH FOR JOINT LEARNING FROM CROWDS"
  ☆25Updated 2 years ago
• ahujak / IB-IRM
  ☆31Updated 3 years ago
• zhang64-llnl / Mix-n-Match-Calibration
  ☆37Updated 4 years ago
• KaosEngineer / PriorNetworks-OLD
  ☆42Updated 6 years ago
• AMLab-Amsterdam / DataAugmentationInterventions
  ☆27Updated 4 years ago
• chenpf1025 / noisy_label_understanding_utilizing
  ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
  ☆91Updated 4 years ago
• psmmettes / hpn
  Hyperspherical Prototype Networks
  ☆67Updated 5 years ago
• MadryLab / DebuggableDeepNetworks
  ☆38Updated 4 years ago
• DaikiTanak / manifold_mixup
  pytorch implementation of manifold-mixup
  ☆22Updated 2 years ago
• jlko / active-testing
  Active and Sample-Efficient Model Evaluation
  ☆24Updated 2 months 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
• geifmany / selectivenet
  code for the ICML paper "SelectiveNet - A Deep Neural Network with an Integrated Reject Option"
  ☆46Updated 6 years ago
• CoinCheung / fixmatch-pytorch
  90%+ with 40 labels. please see the readme for details.
  ☆37Updated 4 years ago
• rgeirhos / shortcut-perspective
  Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)
  ☆99Updated 3 years ago
• parthnatekar / pgdl
  Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning
  ☆40Updated 4 years ago
• RAIVNLab / supsup
  Code for "Supermasks in Superposition"
  ☆124Updated last year
• HaohanWang / HEX
  Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out
  ☆27Updated 4 years ago
• claying / OTK
  A Pytorch implementation of the optimal transport kernel embedding
  ☆117Updated 4 years ago
• xinshi-chen / l2stop
  Learning To Stop While Learning To Predict
  ☆34Updated 2 years ago
• chingyaoc / fair-mixup
  ICLR 2021, Fair Mixup: Fairness via Interpolation
  ☆56Updated 3 years ago
• yaohungt / Self_Supervised_Learning_Multiview
  ☆42Updated 5 years ago
• IirisSundin / active-learning-for-decision-making
  This repository contains the code used in a publication 'Active Learning for Decision-Making from Imbalanced Observational Data', Iiris S…
  ☆11Updated 6 years ago