PyTorch Lightning implementation of N-BEATS time series forecasting, extended with wavelet basis expansion, autoencoder blocks, and bottleneck architectures beyond the original paper.
Project description
The author of this package has not provided a project description
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
lightningnbeats-0.1.3.tar.gz
(82.6 MB
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 lightningnbeats-0.1.3.tar.gz.
File metadata
- Download URL: lightningnbeats-0.1.3.tar.gz
- Upload date:
- Size: 82.6 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.9.25
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1c7aa7732b05e75c90b30934fc6cbf19c623a1c303123471f5c20a10cdd8363f
|
|
| MD5 |
a47110f11f8c7a16a28e87c93b45accb
|
|
| BLAKE2b-256 |
98cf0b9d3a2ca0c2d4542b63bb40d371ab04bfeaf597e27287e6438ac0f9e5d4
|
File details
Details for the file lightningnbeats-0.1.3-py3-none-any.whl.
File metadata
- Download URL: lightningnbeats-0.1.3-py3-none-any.whl
- Upload date:
- Size: 83.6 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.9.25
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
518290106106dc191d16f951ed79c7348f355199398df4b60bf7f6658a8f1baf
|
|
| MD5 |
727bf326471d21122eb3b9b48c45af6a
|
|
| BLAKE2b-256 |
18a0e6a7352d4ad69521405b7e86eb805d7bc5833c888f8072785557e91568a0
|
