Alternatives and similar repositories for MEC

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

• zhangq327 / U-MAE
  Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders
  ☆67Updated last year
• liuxingbin / dbot
  [ICLR2024] Exploring Target Representations for Masked Autoencoders
  ☆56Updated last year
• UCSC-VLAA / DMAE
  [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"
  ☆106Updated last year
• fundamentalvision / UniGrad
  ☆31Updated 3 years ago
• mingkai-zheng / ReSSL
  ReSSL: Relational Self-Supervised Learning with Weak Augmentation
  ☆58Updated 3 years ago
• Huage001 / DatasetFactorization
  PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.
  ☆66Updated 2 years ago
• feifeiobama / InfluenceCL
  [CVPR 2023] Regularizing Second-Order Influences for Continual Learning
  ☆35Updated 2 years ago
• eric-ai-lab / PEViT
  Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"
  ☆104Updated last year
• yossigandelsman / test_time_training_mae
  The official github repo for "Test-Time Training with Masked Autoencoders"
  ☆86Updated last year
• facebookresearch / asym-siam
  PyTorch implementation of Asymmetric Siamese (https://arxiv.org/abs/2204.00613)
  ☆99Updated 3 years ago
• 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
  ☆175Updated 2 years ago
• Haoqing-Wang / InfoCL
  [CVPR 2022 Oral] Rethinking Minimal Sufficient Representation in Contrastive Learning
  ☆69Updated last year
• zju-vipa / MEAT-TIL
  CVPR2022: Meta-attention for ViT-backed Continual Learning
  ☆34Updated 2 years ago
• ShipengWang / Adam-NSCL
  PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"
  ☆62Updated 3 years ago
• alinlab / SelfPatch
  ☆60Updated last year
• liuzhuang13 / bias
  ☆111Updated last year
• Wangt-CN / CaaM
  [ICCV 2021] Released code for Causal Attention for Unbiased Visual Recognition
  ☆79Updated last year
• fiveai / LAME
  This code accompanies the paper "Parameter-free Online Test-time Adaptation".
  ☆75Updated 3 years ago
• AbrahamYabo / SdAE
  ☆60Updated 2 years ago
• invictus717 / UniDG
  Towards Unified and Effective Domain Generalization
  ☆31Updated last year
• JosephKJ / ELI
  (CVPR 2022) Energy-based Latent Aligner for Incremental Learning
  ☆51Updated 2 years ago
• gaopengcuhk / BALLAD
  ☆59Updated 3 years ago
• jacobswan1 / SEED
  ☆36Updated 3 years ago
• sunsmarterjie / beyond_masking
  Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers
  ☆26Updated 3 years ago
• Phoenix1153 / ViT_OOD_generalization
  ☆85Updated 3 years ago
• sail-sg / mugs
  A PyTorch implementation of Mugs proposed by our paper "Mugs: A Multi-Granular Self-Supervised Learning Framework".
  ☆83Updated last year
• mwalmer-umd / vit_analysis
  ☆36Updated 2 years ago
• haohang96 / bingo
  Bag of Instances Aggregation Boosts Self-supervised Distillation (ICLR 2022)
  ☆33Updated 3 years ago
• vita-epfl / ttt-plus-plus
  [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?
  ☆70Updated 3 years ago
• vgthengane / Continual-CLIP
  Official repository for "CLIP model is an Efficient Continual Learner".
  ☆97Updated 2 years ago