Alternatives and similar repositories for bias

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

• Haochen-Wang409 / DropPos
  [NeurIPS'23] DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions
  ☆62Updated last year
• ZhangYuanhan-AI / visual_prompt_retrieval
  [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"
  ☆178Updated last year
• yossigandelsman / test_time_training_mae
  The official github repo for "Test-Time Training with Masked Autoencoders"
  ☆90Updated 2 years ago
• CVMI-Lab / SlotCon
  (NeurIPS 2022) Self-Supervised Visual Representation Learning with Semantic Grouping
  ☆98Updated 9 months ago
• UCSC-VLAA / DMAE
  [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"
  ☆108Updated 2 years ago
• ggjy / DeLVM
  ☆120Updated last year
• zhenxingjian / Partial_Distance_Correlation
  This is the official GitHub for paper: On the Versatile Uses of Partial Distance Correlation in Deep Learning, in ECCV 2022
  ☆176Updated 2 years ago
• UMass-Embodied-AGI / Mod-Squad
  ☆91Updated 2 years ago
• hunto / DiffKD
  Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023
  ☆93Updated last year
• facebookresearch / r-mae
  PyTorch implementation of R-MAE https//arxiv.org/abs/2306.05411
  ☆113Updated 2 years ago
• liuxingbin / dbot
  [ICLR2024] Exploring Target Representations for Masked Autoencoders
  ☆57Updated last year
• zejiangh / MILAN
  PyTorch implementation of the paper "MILAN: Masked Image Pretraining on Language Assisted Representation" https://arxiv.org/pdf/2208.0604…
  ☆83Updated 3 years ago
• Qinyu-Allen-Zhao / Arinar
  ☆43Updated 6 months ago
• jochemloedeman / PGN
  Prompt Generation Networks for Input-Space Adaptation of Frozen Vision Transformers. Jochem Loedeman, Maarten C. Stol, Tengda Han, Yuki M…
  ☆43Updated last year
• DerrickWang005 / Unpair-Seg.pytorch
  Uni-OVSeg is a weakly supervised open-vocabulary segmentation framework that leverages unpaired mask-text pairs.
  ☆53Updated last year
• ziplab / SPT
  [ICCV 2023 oral] This is the official repository for our paper: ''Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning''.
  ☆74Updated 2 years ago
• ChangyaoTian / VL-LTR
  VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition
  ☆68Updated 3 years ago
• chenshuang-zhang / imagenet_d
  [CVPR 2024 Highlight] ImageNet-D
  ☆46Updated last year
• boyazeng / understand_bias
  Code release for "Understanding Bias in Large-Scale Visual Datasets"
  ☆22Updated last year
• BeSpontaneous / Proteus-pytorch
  Proteus (ICLR2025)
  ☆54Updated 8 months ago
• LeapLabTHU / Deep-Incubation
  Code release for Deep Incubation (https://arxiv.org/abs/2212.04129)
  ☆91Updated 2 years ago
• JieShibo / PETL-ViT
  [ICCV 2023 & AAAI 2023] Binary Adapters & FacT, [Tech report] Convpass
  ☆197Updated 2 years ago
• munanning / MADAv2
  MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation
  ☆25Updated 2 years ago
• yongchaoz / diffusion_inversion
  Code for "Training on Thin Air: Improve Image Classification with Generated Data"
  ☆48Updated 2 years ago
• dongzelian / SSF
  [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".
  ☆190Updated 2 years ago
• ziplab / FASeg
  [CVPR 2023] This is the official PyTorch implementation for "Dynamic Focus-aware Positional Queries for Semantic Segmentation".
  ☆60Updated 2 years ago
• ML-GSAI / DPT
  Official PyTorch implementation for "Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels"
  ☆96Updated last year
• UCSC-VLAA / EVP
  [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"
  ☆42Updated last year
• Paranioar / UniPT
  [CVPR2024] The code of "UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory"
  ☆68Updated last year
• ZhangYuanhan-AI / NOAH
  [TPAMI] Searching prompt modules for parameter-efficient transfer learning.
  ☆238Updated 2 years ago