KyanChen / MakeMultiHeadNaiveLinks
Use naive MultiheadAttention implement to replace nn.MultiheadAttention in pytorch
☆36Updated 5 months ago
Alternatives and similar repositories for MakeMultiHeadNaive
Users that are interested in MakeMultiHeadNaive are comparing it to the libraries listed below
Sorting:
- ☆168Updated last year
- Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))☆190Updated 2 years ago
- A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.☆402Updated 10 months ago
- [AAAI'25, CVPRW 2024] Official repository of paper titled "Learning to Prompt with Text Only Supervision for Vision-Language Models".☆109Updated 7 months ago
- [ICCV'23 Main Track, WECIA'23 Oral] Official repository of paper titled "Self-regulating Prompts: Foundational Model Adaptation without F…☆269Updated last year
- Exploring Visual Prompts for Adapting Large-Scale Models☆281Updated 3 years ago
- ☆342Updated last year
- [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".☆183Updated last year
- PyTorch Reimplementation of LoRA (featuring with supporting nn.MultiheadAttention in OpenCLIP)☆65Updated last month
- Collection of Composed Image Retrieval (CIR) papers.☆233Updated 3 weeks ago
- [ICCV 2023] Prompt-aligned Gradient for Prompt Tuning☆166Updated 2 years ago
- ☆191Updated 2 years ago
- [ICCV2023] - CTP: Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation☆36Updated 9 months ago
- Code for Finetune like you pretrain: Improved finetuning of zero-shot vision models☆100Updated last year
- official implementation of "Interpreting CLIP's Image Representation via Text-Based Decomposition"☆216Updated last month
- [TPAMI] Searching prompt modules for parameter-efficient transfer learning.☆232Updated last year
- [ICCV 2023 & AAAI 2023] Binary Adapters & FacT, [Tech report] Convpass☆192Updated last year
- [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models☆167Updated last year
- [NeurIPS 2023] Text data, code and pre-trained models for paper "Improving CLIP Training with Language Rewrites"☆283Updated last year
- Instruction Tuning in Continual Learning paradigm☆54Updated 5 months ago
- ☆12Updated last year
- ☆98Updated last year
- Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"☆81Updated last year
- Experiments and data for the paper "When and why vision-language models behave like bags-of-words, and what to do about it?" Oral @ ICLR …☆280Updated 2 years ago
- ICLR 2023 DeCap: Decoding CLIP Latents for Zero-shot Captioning☆136Updated 2 years ago
- FineCLIP: Self-distilled Region-based CLIP for Better Fine-grained Understanding (NIPS24)☆24Updated 7 months ago
- [ICCV 2025] Official PyTorch Code for "Advancing Textual Prompt Learning with Anchored Attributes"☆82Updated last week
- Code for the paper: "SuS-X: Training-Free Name-Only Transfer of Vision-Language Models" [ICCV'23]☆103Updated last year
- Official implementation of "Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer".☆130Updated 8 months ago
- ☆542Updated 3 years ago