YeonwooSung / LIMoE-pytorch
PyTorch implementation of LIMoE
☆53Updated last year
Alternatives and similar repositories for LIMoE-pytorch:
Users that are interested in LIMoE-pytorch are comparing it to the libraries listed below
- A PyTorch implementation of Multimodal Few-Shot Learning with Frozen Language Models with OPT.☆45Updated 2 years ago
- Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning☆150Updated 2 years ago
- This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual Debias Decoding strat…☆77Updated last month
- [NeurIPS 2023] Bootstrapping Vision-Language Learning with Decoupled Language Pre-training☆24Updated last year
- 📍 Official pytorch implementation of paper "ProtoCLIP: Prototypical Contrastive Language Image Pretraining" (IEEE TNNLS)☆52Updated last year
- [TPAMI] Searching prompt modules for parameter-efficient transfer learning.☆227Updated last year
- Official implementation for NeurIPS'23 paper "Geodesic Multi-Modal Mixup for Robust Fine-Tuning"☆32Updated 6 months ago
- Multimodal Masked Autoencoders (M3AE): A JAX/Flax Implementation☆103Updated last month
- code for "Multitask Vision-Language Prompt Tuning" https://arxiv.org/abs/2211.11720☆56Updated 9 months ago
- Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"☆110Updated last year
- ☆57Updated last year
- Code to train CLIP model☆109Updated 3 years ago
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆91Updated last year
- PyTorch implementation of "From Sparse to Soft Mixtures of Experts"☆53Updated last year
- Dataset pruning for ImageNet and LAION-2B.☆76Updated 8 months ago
- source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"☆68Updated 2 months ago
- [ICLR 2023] Official code repository for "Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning"☆59Updated last year
- Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"☆104Updated last year
- [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"☆173Updated last year
- PyTorch code for "VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks" (CVPR2022)☆204Updated 2 years ago
- MixGen: A New Multi-Modal Data Augmentation☆122Updated 2 years ago
- [CVPR 2024] Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Fine-grained Understanding☆45Updated 8 months ago
- [ICLR 23] Contrastive Aligned of Vision to Language Through Parameter-Efficient Transfer Learning☆38Updated last year
- Distilling Large Vision-Language Model with Out-of-Distribution Generalizability (ICCV 2023)☆56Updated 11 months ago
- S-CLIP: Semi-supervised Vision-Language Pre-training using Few Specialist Captions☆48Updated last year
- [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".☆178Updated last year
- PyTorch codes for "LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning"☆236Updated 2 years ago
- implementation of paper https://arxiv.org/abs/2210.04559☆53Updated 2 years ago
- [NeurIPS 2023] Text data, code and pre-trained models for paper "Improving CLIP Training with Language Rewrites"☆272Updated last year
- [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning☆81Updated 11 months ago