Alternatives and similar repositories for sal

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

• deeplearning-wisc / hypo
  ☆17Updated last year
• WNJXYK / DeCoOp
  ☆15Updated last year
• deeplearning-wisc / scone
  ☆9Updated last year
• ZFancy / DivOE
  [NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"
  ☆11Updated last year
• vanillaer / CPL-ICML2024
  [ICML 2024] Offical code repo for ICML2024 paper "Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with …
  ☆26Updated 11 months ago
• QizhouWang / DOE
  ☆26Updated 2 years ago
• JJchy / CG_score
  Data Valuation without Training of a Model, submitted to ICLR'23
  ☆22Updated 2 years ago
• deeplearning-wisc / cider
  PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023
  ☆61Updated last year
• tmlr-group / DAL
  [NeurIPS 2023] "Learning to Augment Distributions for Out-of-distribution Detection"
  ☆12Updated last year
• SMILELab-FL / FedNoisy
  Benchmark for federated noisy label learning
  ☆23Updated 9 months ago
• llong-cs / LaGAM
  Code for CVPR 2024 paper: Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation
  ☆14Updated last year
• amazon-science / long-tailed-ood-detection
  Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…
  ☆44Updated 2 years ago
• NeuralCollapseApplications / ImbalancedLearning
  [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…
  ☆45Updated 2 years ago
• miniHuiHui / awesome-out-of-distribution-detection
  Paper of out of distribution detection and generalization
  ☆56Updated last year
• YuheD / awesome-model-transferability-estimation
  A collection of model transferability estimation methods.
  ☆27Updated 7 months ago
• tmlr-group / ZS-NTTA
  [ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"
  ☆10Updated 3 months ago
• hongxin001 / open-sampling
  Official code for ICML 2022: Open-Sampling: Exploring Out-of-Distribution Data for Re-balancing Long-tailed Datasets
  ☆15Updated 2 years ago
• SprocketLab / roboshot
  ☆22Updated last year
• Impression2805 / Awesome-Failure-Detection
  A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)
  ☆48Updated last year
• deeplearning-wisc / poem
  PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022
  ☆28Updated 2 years ago
• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆53Updated last year
• BierOne / ood_coverage
  [ICLR 2024 Spotlight] Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization
  ☆30Updated 7 months ago
• inspire-group / tta_risk
  ☆11Updated 2 years ago
• wxr99 / HolisticPU
  Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends [NeurIPS 2023]
  ☆9Updated last year
• deeplearning-wisc / dream-ood
  source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"
  ☆68Updated last month
• YaoRujing / Data-Optimization
  Data Optimization in Deep Learning: A Survey
  ☆19Updated last year
• Impression2805 / OpenMix
  PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"
  ☆24Updated last year
• LFhase / FeAT
  [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization
  ☆30Updated last week
• Jhyun17 / DeYO
  ☆17Updated last year
• tmlr-group / NegLabel
  [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"
  ☆21Updated 7 months ago