pysimilar
A python library for computing the similarity between two strings (text) based on cosine similarity (by Kalebu)
clip-as-service
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP (by jina-ai)
| pysimilar | clip-as-service | |
|---|---|---|
| 1 | 15 | |
| 19 | 12,202 | |
| - | 0.3% | |
| 0.0 | 5.2 | |
| almost 2 years ago | 3 months ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
pysimilar
Posts with mentions or reviews of pysimilar.
We have used some of these posts to build our list of alternatives
and similar projects.
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Using pysimilar to compute similarity between texts
$ git clone https://github.com/Kalebu/pysimilar $ cd pysimilar $ pysimilar -> python setup.py install
clip-as-service
Posts with mentions or reviews of clip-as-service.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-08-31.
- Search for anything ==> Immich fails to download textual.onnx
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I'm going insane trying to train large datasets for poses, any input would be greatly appreciated I've been stuck for days
I think training models with limited images can lead to overfitting, so I think you can try using a set of images with different poses. You might also want to try flipping or to help out the model so it gets to do different psoes. You might also want CLIP-as-a-service, but just know that pre-trained models isn't always be the best solution. My .02c
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[D]Want to Search Inside Videos Like a Pro?
Imagine an AI-powered grep command, one that could process a film and find segments matching a text. With CLIP-as-service, you can do that. Here is the repo link, https://github.com/jina-ai/clip-as-service.
- Image Similarity Score using transfer learning
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Best models for sentence similarity with good benefit-cost ratio?
you could try Jina.ai's CLIP-as-a-Service: https://github.com/jina-ai/clip-as-service
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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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Open-Source python package to find relevant images for a sentence
Built CLIP-as-service, an open-source library to create embeddings of images and text using CLIP. These embeddings can be used to find the relevant images for any sentence. Note: you don't need to caption the images for this to work, and it is not just limited to objects in the image but an overall understanding built via CLIP neural network.
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Built an ML library that can describe an image or find relevant images for a sentence
Built [CLIP-as-service](https://github.com/jina-ai/clip-as-service), an open-source library to create embeddings of images and text using CLIP.
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[P] Clip-as-service to embed images and sentences into fixed-length vectors with CLIP
Excited to share my new project CLIP-as-service, a high-scalability service for embedding images and text. It serve CLIP models with ONNX runtime and PyTorch JIT with 800QPS.
What are some alternatives?
When comparing pysimilar and clip-as-service you can also consider the following projects:
bert - TensorFlow code and pre-trained models for BERT
BERTopic - Leveraging BERT and c-TF-IDF to create easily interpretable topics.
spokestack-python - Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application with a focus on embedded systems.
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
pronomial - pronomial postag/word_gender based coreference solver
DeBERTa - The implementation of DeBERTa
mycroft-core - Mycroft Core, the Mycroft Artificial Intelligence platform.
rclip - AI-Powered Command-Line Photo Search Tool
unisim - UniSim is a package for efficient similarity computation, fuzzy matching, and clustering of data.
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.
pysimilar vs bert
clip-as-service vs BERTopic
pysimilar vs spokestack-python
clip-as-service vs transformers
pysimilar vs pronomial
clip-as-service vs DeBERTa
pysimilar vs mycroft-core
clip-as-service vs rclip
pysimilar vs unisim
clip-as-service vs spaCy
clip-as-service vs electra
clip-as-service vs OpenPrompt