A lightweight Python package that supplies batteries-included abstractions for PyTorch workflows
Project description
torch-batteries
Image generated by AI
A lightweight Python package that supplies batteries-included abstractions for:
- Data loading pipelines
- Model training loops
- Evaluation workflows
- Metrics computation
- Seamless Weights & Biases tracking
Designed to reduce boilerplate and standardize experiment code.
Installation
pip install torch-batteries
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
torch_batteries-0.2.0.tar.gz
(21.1 kB
view details)
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 torch_batteries-0.2.0.tar.gz.
File metadata
- Download URL: torch_batteries-0.2.0.tar.gz
- Upload date:
- Size: 21.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
66dd45e4a3fb7e9fa85df82c1fcf166bcc8577bb9387b182b7bdcb59d068966b
|
|
| MD5 |
c69dfc32742ffaa18ca4911bef8e438a
|
|
| BLAKE2b-256 |
92cbe3367c9f946d1b3c5c6449dc030e0499d872d92b30810cf6b6524ed2a572
|
File details
Details for the file torch_batteries-0.2.0-py3-none-any.whl.
File metadata
- Download URL: torch_batteries-0.2.0-py3-none-any.whl
- Upload date:
- Size: 15.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
94983daa8f1bb0be9eeed0394dcccbc9d728e4a574abc170b122aa3cf0014217
|
|
| MD5 |
ac120d5b56e3891c8beb5b959c0c5af7
|
|
| BLAKE2b-256 |
b5afc1f4e1873e38bbd004c2502f3b0b759b8a4d49bfd29f64031013757b1b66
|
