A toolbox for creating and training triplet networks in tensorflow
Project description
A set of tools for implementing triplet networks in tensorflow/keras. The toolbox includes a set of loss functions that plug in to tensorflow/keras neural network seamlessly, transforming your model into a one-short learning triplet model
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file triplet-tools-0.2.3.tar.gz.
File metadata
- Download URL: triplet-tools-0.2.3.tar.gz
- Upload date:
- Size: 10.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b9ab58196d5607358b6f193346c2ab30ad41500f5d5c1d9cb750102388dea1fb
|
|
| MD5 |
6ba2c0bef3d26a0d16f707ebb2f2e60e
|
|
| BLAKE2b-256 |
96d346963b9769771b6bace4b08c54f1fcfa6eadd1ffd7833720f01263c2188d
|
File details
Details for the file triplet_tools-0.2.3-py3-none-any.whl.
File metadata
- Download URL: triplet_tools-0.2.3-py3-none-any.whl
- Upload date:
- Size: 5.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b5da39506dd161ea6cf71b41e96cf17d8755d7b38f9908165f8fb90f3bf5b84e
|
|
| MD5 |
6a67f86784f2991351c29b4e5dd94478
|
|
| BLAKE2b-256 |
bc1d2f1af0f70f59457f684122b1eeba7e9df511d5efca84629064ae1aa982aa
|