MetaCLIP
ICLR2024 Spotlight: curation/training code, metadata, distribution and pre-trained models for MetaCLIP; CVPR 2024: MoDE: CLIP Data Experts via Clustering (by facebookresearch)
zero-shot-prediction-plugin
Run zero-shot prediction models on your data (by jacobmarks)
MetaCLIP | zero-shot-prediction-plugin | |
---|---|---|
5 | 3 | |
1,019 | 24 | |
4.6% | - | |
7.5 | 7.6 | |
13 days ago | 26 days ago | |
Python | Python | |
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.
MetaCLIP
Posts with mentions or reviews of MetaCLIP.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-13.
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A History of CLIP Model Training Data Advances
(Github Repo | Most Popular Model | Paper)
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How to Build a Semantic Search Engine for Emojis
Whenever I’m working on semantic search applications that connect images and text, I start with a family of models known as contrastive language image pre-training (CLIP). These models are trained on image-text pairs to generate similar vector representations or embeddings for images and their captions, and dissimilar vectors when images are paired with other text strings. There are multiple CLIP-style models, including OpenCLIP and MetaCLIP, but for simplicity we’ll focus on the original CLIP model from OpenAI. No model is perfect, and at a fundamental level there is no right way to compare images and text, but CLIP certainly provides a good starting point.
- MetaCLIP by Meta AI Research
- MetaCLIP – Meta AI Research
zero-shot-prediction-plugin
Posts with mentions or reviews of zero-shot-prediction-plugin.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-13.
-
Zero-Shot Prediction Plugin for FiftyOne
fiftyone plugins download https://github.com/jacobmarks/zero-shot-prediction-plugin
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A History of CLIP Model Training Data Advances
For a comprehensive catalog of papers pushing the state of CLIP models forward, check out this Awesome CLIP Papers Github repository. Additionally, the Zero-shot Prediction Plugin for FiftyOne allows you to apply any of the OpenCLIP-compatible models to your own data.
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Plugin for Building and Managing Plugins!
Week 6: 🎭Zero-shot Prediction