Alternatives and similar repositories for MLLM-CompBench

Users that are interested in MLLM-CompBench are comparing it to the libraries listed below

• zhangmarvin / memo
  ☆67Updated 2 years ago
• PotatoTian / TPGM
  This repo implements the CVPR23 paper Trainable Projected Gradient Method for Robust Fine-tuning
  ☆24Updated last year
• oripress / CCC
  Code for Continuously Changing Corruptions (CCC) benchmark + evaluation
  ☆36Updated 11 months ago
• locuslab / tta_conjugate
  Test-Time Adaptation via Conjugate Pseudo-Labels
  ☆41Updated 2 years ago
• JoyHuYY1412 / Class_Imbalanced_Semi_Supervised_Learning
  ☆18Updated 2 years ago
• princetonvisualai / RememberThePast-DatasetDistillation
  ☆40Updated 2 years ago
• thu-ml / HiDe-Prompt
  Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)
  ☆86Updated 8 months ago
• simpleshinobu / IRMCon
  Implementation for ECCV 2022 Paper "Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generali…
  ☆20Updated 3 years ago
• virajprabhu / LANCE
  LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
  ☆32Updated last year
• princetonvisualai / multimodal_dataset_distillation
  ☆58Updated 7 months ago
• deeplearning-wisc / vit-spurious-robustness
  ☆27Updated 2 years ago
• deeplearning-wisc / poem
  PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022
  ☆28Updated 2 years ago
• yongchaoz / FRePo
  Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)
  ☆47Updated 2 years ago
• OPTML-Group / ILM-VP
  [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…
  ☆53Updated last year
• SprocketLab / roboshot
  ☆21Updated last year
• rgeirhos / dataset-pruning-metrics
  Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)
  ☆56Updated 2 years ago
• vita-epfl / ttt-plus-plus
  [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?
  ☆70Updated 3 years ago
• YueYANG1996 / LaBo
  CVPR 2023: Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification
  ☆93Updated last year
• yu-rp / Distribution-Shift-Iverson
  ☆42Updated last year
• changdaeoh / BlackVIP
  Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"
  ☆111Updated last year
• cvlab-columbia / DoubleRight
  ☆27Updated last year
• BeierZhu / GLA
  [NeurIPS 2023] Generalized Logit Adjustment
  ☆38Updated last year
• justincui03 / dc_benchmark
  ☆86Updated 2 years ago
• deeplearning-wisc / dream-ood
  source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"
  ☆69Updated 3 months ago
• alinlab / OpenCoS
  ☆15Updated 3 years ago
• shiyegao / DDA
  Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"
  ☆80Updated last year
• vimar-gu / DiM
  Distilling Dataset into Generative Models
  ☆54Updated 2 years ago
• FarinaMatteo / zero
  [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!
  ☆52Updated 4 months ago
• Yujun-Shi / CwD
  Official Implementation of CVPR 2022 paper: "Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning…
  ☆34Updated 2 years ago
• sxzrt / CIFAR-10-W
  CIFAR-10-Warehouse: Towards Broad and More Realistic Testbeds in Model Generalization Analysis
  ☆18Updated last year