clip-as-service
Embedding Service
A service that provides fast and scalable image-text embeddings using CLIP models, supporting visual reasoning and integration with neural search ecosystems.
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
12k stars
222 watching
2k forks
Language: Python
last commit: about 1 year ago
Linked from 1 awesome list
bertbert-as-serviceclip-as-serviceclip-modelcross-modal-retrievalcross-modalitydeep-learningimage2vecmulti-modalityneural-searchonnxopenaipytorchsentence-encodingsentence2vec
Related projects:
Repository | Description | Stars |
---|---|---|
| An interactive workflow for generating high-definition images from text prompts using a human-in-the-loop approach | 2,837 |
| A framework for building and deploying AI services that can be scaled from local development to production | 21,180 |
| A tool for efficiently computing and utilizing CLIP embeddings for semantic search in multimodal data | 2,440 |
| A neural network trained on image and text pairs to predict the most relevant text snippet given an image | 26,460 |
| A tool for optimizing text prompts to generate images with specific characteristics using CLIP and BLIP models. | 2,725 |
| A multilingual text2image latent diffusion model with improved aesthetics and controllability | 2,774 |
| Efficient image captioning model using a CNN followed by an RNN in deep learning on GPU | 5,515 |
| An in-memory document retrieval system for natural language processing applications | 15,865 |
| A framework that transforms deep neural networks into high-performance GPU-optimized C++ code for efficient inference serving. | 4,573 |
| An efficient Large Language Model inference engine leveraging consumer-grade GPUs on PCs | 8,011 |
| An open-source Postgres extension for machine learning and AI operations directly within the database. | 6,070 |
| An implementation of the Squeeze-and-Excitation Networks architecture in Caffe | 3,415 |
| A platform providing pre-built machine learning models and APIs for cross-platform deployment on various devices | 27,962 |
| A unified and scalable machine learning library for large-scale distributed training, model serving, and federated learning. | 4,205 |
| A toolkit for training and deploying large AI models in parallel on distributed computing infrastructure | 38,907 |