omoindrot/tensorflow-triplet-loss
Implementation of triplet loss in TensorFlow
This project helps machine learning engineers or researchers working on face recognition, person re-identification, or similar tasks. It takes in labelled image data and outputs trained models that can distinguish between similar items or individuals. This is particularly useful for building robust identification systems.
1,130 stars. No commits in the last 6 months.
Use this if you are a machine learning engineer or researcher developing models that need to learn to differentiate between subtly different entities, like faces or specific objects, from a dataset of images.
Not ideal if you are not comfortable working with TensorFlow and Python to integrate this loss function into a neural network.
Stars
1,130
Forks
280
Language
Python
License
MIT
Category
Last pushed
May 09, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/omoindrot/tensorflow-triplet-loss"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
cosmosgl/graph
GPU-accelerated force graph layout and rendering
Clay-foundation/model
The Clay Foundation Model - An open source AI model and interface for Earth
nomic-ai/nomic
Nomic Developer API SDK
sashakolpakov/dire-jax
DImensionality REduction in JAX
poloclub/wizmap
Explore and interpret large embeddings in your browser with interactive visualization! 📍