Alternatives and similar repositories for muMoE

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

• ExplainableML / fomo_in_flux
  Code and benchmark for the paper: "A Practitioner's Guide to Continual Multimodal Pretraining" [NeurIPS'24]
  ☆57Updated 7 months ago
• ethanlshen / HierNet
  Code for "Are “Hierarchical” Visual Representations Hierarchical?" in NeurIPS Workshop for Symmetry and Geometry in Neural Representation…
  ☆21Updated last year
• PKU-ML / non_neg
  Official Code for ICLR 2024 Paper: Non-negative Contrastive Learning
  ☆45Updated last year
• fengyuli-dev / distribution-normalization
  Test-Time Distribution Normalization For Contrastively Learned Vision-language Models
  ☆28Updated last year
• facebookresearch / SIE
  Code for the paper Self-Supervised Learning of Split Invariant Equivariant Representations
  ☆28Updated last year
• jonkahana / CLIPPR
  An official PyTorch implementation for CLIPPR
  ☆29Updated last year
• LeslieTrue / CPP
  This is the official implementation for Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models.
  ☆28Updated 2 years ago
• tripletclip / TripletCLIP
  [NeurIPS 2024] Official PyTorch implementation of "Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives"
  ☆41Updated 7 months ago
• zhangq327 / U-MAE
  Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders
  ☆67Updated last year
• jameszhou-gl / gpt-4v-distribution-shift
  Code for ICLR'24 workshop ME-FoMo-How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation
  ☆36Updated 8 months ago
• mlvlab / TokenMixup
  Official pytorch implementation of NeurIPS 2022 paper, TokenMixup
  ☆48Updated 2 years ago
• brendel-group / clip-ood
  Official code for the paper "Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?" (ICLR 2024)
  ☆10Updated 10 months ago
• boyazeng / understand_bias
  Code release for "Understanding Bias in Large-Scale Visual Datasets"
  ☆20Updated 7 months ago
• roymiles / ITRD
  [BMVC 2022] Information Theoretic Representation Distillation
  ☆18Updated last year
• locuslab / llava-token-compression
  ☆42Updated 8 months ago
• naver-ai / prolip
  ☆51Updated 4 months ago
• lapisrocks / DiscreteAdversarialDistillation
  [NeurIPS 2023] Official repository for "Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models"
  ☆12Updated last year
• PKU-ML / CLIP-Help-SimCLR
  Official Code for ICML 2023 Paper: On the Generalization of Multi-modal Contrastive Learning
  ☆25Updated last year
• layer6ai-labs / fusemix
  Data-Efficient Multimodal Fusion on a Single GPU
  ☆66Updated last year
• yuhui-zh15 / drml
  Official Code Release for "Diagnosing and Rectifying Vision Models using Language" (ICLR 2023)
  ☆34Updated 2 years ago
• showlab / datacentric.vlp
  Compress conventional Vision-Language Pre-training data
  ☆51Updated last year
• Stanford-AIMI / RaVL
  [NeurIPS 2024] RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models
  ☆24Updated 8 months ago
• mchiquier / llm-mutate
  ☆13Updated 9 months ago
• TencentARC / pi-Tuning
  Official code for "pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation", ICML 2023.
  ☆33Updated last year
• alinlab / b2t
  Bias-to-Text: Debiasing Unknown Visual Biases through Language Interpretation
  ☆31Updated 2 years ago
• k1rezaei / Text-to-concept
  ☆33Updated last year
• n3il666 / Meta-DMoE
  ☆41Updated 2 years ago
• jeykigung / HiCLIP
  ☆29Updated 2 years ago
• mshukor / eP-ALM
  [ICCV23] Official implementation of eP-ALM: Efficient Perceptual Augmentation of Language Models.
  ☆27Updated last year
• mlvlab / DAPT
  Distribution-Aware Prompt Tuning for Vision-Language Models (ICCV 2023)
  ☆41Updated last year