gdeleon80

gdeleon80's Stars

• rmokady/CLIP_prefix_caption

  Simple image captioning model

  Language:Jupyter Notebook1.3k214

• lzhbrian/image-to-image-papers

  🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)

  1.1k156

• yzhuoning/Awesome-CLIP

  Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).

  1.1k55

• sethuiyer/Image-to-Image-Search

  A reverse image search engine powered by elastic search and tensorflow

  Language:Python32150

• aws-samples/amazon-sagemaker-clip-search

  Build a machine learning (ML) powered search engine prototype to retrieve and recommend products based on text or image queries

  Language:Jupyter Notebook395

• svpino/clip-container

  A containerized REST API around OpenAI's CLIP model.

  Language:Python6316

• NVlabs/prismer

  The implementation of "Prismer: A Vision-Language Model with Multi-Task Experts".

  Language:Python1.3k75

• james-see/iptcinfo3

  iptcinfo working for python 3 finally do pip3 install iptcinfo3

  Language:Python5231

• aws/amazon-sagemaker-examples

  Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

  Language:Jupyter Notebook10k6.7k

• weaviate/weaviate

  Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

  Language:Go10.9k746

• neuml/txtai

  💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

  Language:Python8.7k576

• qdrant/qdrant

  Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

  Language:Rust19.9k1.3k

• deepset-ai/haystack

  :mag: AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

  Language:Python16.9k1.8k

• PaddlePaddle/PaddleNLP

  👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.

  Language:Python12k2.9k

• jina-ai/clip-as-service

  🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

  Language:Python12.4k2.1k

• jina-ai/jina

  ☁️ Build multimodal AI applications with cloud-native stack

  Language:Python20.9k2.2k

• docarray/docarray

  Represent, send, store and search multimodal data

  Language:Python2.9k231

• freeCodeCamp/freeCodeCamp

  freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.

  Language:TypeScript402k37.2k

• MuhammadUsman-EE/Secom-MPMD2021-Group2

  Language:R2

• mrreyesm/sak_app

  Language:Dart23