prismer
Vision-Language Model
A deep learning framework for training multi-modal models with vision and language capabilities.
The implementation of "Prismer: A Vision-Language Model with Multi-Task Experts".
1k stars
16 watching
74 forks
Language: Python
last commit: over 2 years agoimage-captioninglanguage-modelmulti-modal-learningmulti-task-learningvision-and-languagevision-language-modelvqa
Related projects:
| Repository | Description | Stars |
|---|---|---|
 deepseek-ai/deepseek-vl | A multimodal AI model that enables real-world vision-language understanding applications | 2,145 |
 shizhediao/davinci | Implementing a unified modal learning framework for generative vision-language models | 43 |
 baaivision/eve | A PyTorch implementation of an encoder-free vision-language model that can be fine-tuned for various tasks and modalities | 246 |
| nvlabs/eagle | Develops high-resolution multimodal LLMs by combining vision encoders and various input resolutions | 549 |
 opengvlab/visionllm | A large language model designed to process and generate visual information | 956 |
 meituan-automl/mobilevlm | An implementation of a vision language model designed for mobile devices, utilizing a lightweight downsample projector and pre-trained language models. | 1,076 |
 dvlab-research/lisa | A system that uses large language models to generate segmentation masks for images based on complex queries and world knowledge. | 1,923 |
 yiren-jian/blitext | Develops and trains models for vision-language learning with decoupled language pre-training | 24 |
 gordonhu608/mqt-llava | A vision-language model that uses a query transformer to encode images as visual tokens and allows flexible choice of the number of visual tokens. | 101 |
 vlf-silkie/vlfeedback | An annotated preference dataset and training framework for improving large vision language models. | 88 |
 byungkwanlee/collavo | Develops a PyTorch implementation of an enhanced vision language model | 93 |
 zhourax/vega | Develops a multimodal task and dataset to assess vision-language models' ability to handle interleaved image-text inputs. | 33 |
| dvlab-research/llama-vid | An image-based language model that uses large language models to generate visual and text features from videos | 748 |
 360cvgroup/360vl | A large multi-modal model developed using the Llama3 language model, designed to improve image understanding capabilities. | 32 |
 vishaal27/sus-x | This is an open-source project that proposes a novel method to train large-scale vision-language models with minimal resources and no fine-tuning required. | 94 |