No project description provided
Project description
tf_extensions
tf_extensions is a package that provides custom implementations of layers, losses and models.
Installing tf_extensions
To install tf_extensions, follow these steps:
Linux and MacOS:
pip3 install tf-extensions
Windows:
pip install tf-extensions
Contributing to tf_extensions
To contribute to tf_extensions, follow these steps:
- Fork this repository.
- Create a branch:
git checkout -b <branch_name>. - Make your changes and commit them:
git commit -m '<commit_message>'. - Push to the original branch:
git push origin <project_name>/<location>. - Create the pull request.
Alternatively see the GitHub documentation on creating a pull request.
Contributors
Contact
If you want to contact me you can reach me at albertfarhutdinov@gmail.com.
License
This project is licensed under the MIT License.
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 tf_extensions-0.1.0.tar.gz.
File metadata
- Download URL: tf_extensions-0.1.0.tar.gz
- Upload date:
- Size: 94.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.6.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1dc16a07027aa20c326ff7cea86f6e48f8c470baecd54b6798dc78bf5b5af1de
|
|
| MD5 |
69abcf7ec91ad9e010657f1090a1a734
|
|
| BLAKE2b-256 |
e90302a646c5bc791da13363c920b3434236e6c53bd1055c66c59422b1389136
|
File details
Details for the file tf_extensions-0.1.0-py3-none-any.whl.
File metadata
- Download URL: tf_extensions-0.1.0-py3-none-any.whl
- Upload date:
- Size: 45.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.6.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
addc7ddf5a37246f6b0704b743ea7f7a12de4af7d6859cd286be49de6b986f1f
|
|
| MD5 |
e6889d8185c3c19754888305bb2ee947
|
|
| BLAKE2b-256 |
ac0b9f5516e47f4216f47315c0e57afb4a9650faf9a83bef88717c6bc0f0fb22
|