A Framework for Deep Learning Research in PyTorch.
Project description
Fandak: فندک
Ideas
- Config files:
- One idea is to have config files (python files) with a specific signature that implements a specific function.
- These files should be able to be loaded dynamically.
- These files should be able to be saved in snapshot directories for resuming.
- But it is confusing for me how to manage the dependencies for these config files.
- I think 3 config files are needed: Train Dataset, Model, Training
- We can have one more config file for: Evaluation.
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
fandak-0.0.1a1.dev4.tar.gz
(6.3 kB
view hashes)
Built Distribution
Close
Hashes for fandak-0.0.1a1.dev4-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1a47bf4dadb8d389253827d5a34b485d764f5b6073c9a75f32f59b84ceca992a |
|
MD5 | 757e4d8152b4a8f06f0619b77426a4fa |
|
BLAKE2b-256 | 9e0d313b153e20a479cc1c2d1b1c1a69d78da0c09188a6e2c387869694f46d6e |