clip-as-service
ludwig
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clip-as-service | ludwig | |
---|---|---|
15 | 2 | |
12,148 | 10,717 | |
0.7% | 2.2% | |
5.2 | 9.5 | |
2 months ago | 3 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
clip-as-service
- Image Similarity Score using transfer learning
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Google launched multisearch last week, here's how you can create your own multisearch
Multisearch allows people to search with both text and images. With Open-Source project CLIP-as-service, you can use CLIP (a deep learning model by OpenAI) to do the same. Ask me if you have any questions?
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Natural text to image search(without captions), using CLIP model. Notebook in comment.
Are you scraping these images or using any dataset? Do share the link, would love to play around with it. Would love to hear your feedback for clip-as-service (what I use in my example)?
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Released my 2nd best open-source project out of 170 projects shipped in the past 2 yrs to make AI powered search easy
And this latest project Clip as a service has just received 10k stars on GitHub, very close to my other project Jina which has 14k stars. Clip as a service providers an easy and intuitive way to create embeddings for text and images that can be used to create semantic text and image search.
ludwig
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Python projects with best practices on Github?
Two random examples I found from 30 seconds of googling: Here’s Netflix using it in their crisis management tool, and here’s Uber using it in their deep learning framework.
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Most Frequent 600 Coding Questions on LeetCode
They list themselves all over the internet as an "open source contributor" to Uber, which as far I can tell is based entirely on... reporting that there was an issue with a favicon. To me, it seems like they'll be cheating anybody who employs them based on this, ahem, "experience". And that feels like the tip of the iceberg.
What are some alternatives?
BERTopic - Leveraging BERT and c-TF-IDF to create easily interpretable topics.
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
DeBERTa - The implementation of DeBERTa
rclip - AI-Powered Command-Line Photo Search Tool
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
electra - ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
OpenPrompt - An Open-Source Framework for Prompt-Learning.
nlp-recipes - Natural Language Processing Best Practices & Examples
data-structures-and-algorithms - Resources that I used to crack some big tech & startups interviews
aimet - AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline
autonlp - 🤗 AutoNLP: train state-of-the-art natural language processing models and deploy them in a scalable environment automatically