Lightweight pytorch time series forecasting
Project description
nnts
==============================
Neural Networks For Time Series applications
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
nnts-0.1.3.tar.gz
(49.2 kB
view details)
Built Distribution
nnts-0.1.3-py3-none-any.whl
(60.2 kB
view details)
File details
Details for the file nnts-0.1.3.tar.gz.
File metadata
- Download URL: nnts-0.1.3.tar.gz
- Upload date:
- Size: 49.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.3 CPython/3.12.4 Darwin/23.3.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0a23cffe862cb3b2329ddf76587236c6613936a377c320954c0106dc3be26880
|
|
| MD5 |
0994da9b417fa5002a5b28c1bf26d9da
|
|
| BLAKE2b-256 |
f00e9f00993195d71ade6d3a97c3937a420fb71698c6551a1a0862e9f673f8f7
|
File details
Details for the file nnts-0.1.3-py3-none-any.whl.
File metadata
- Download URL: nnts-0.1.3-py3-none-any.whl
- Upload date:
- Size: 60.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.3 CPython/3.12.4 Darwin/23.3.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
91efb70095f8f326379e8d6bb03f6c06a93bf8ebc610b101f3617498ccc7629d
|
|
| MD5 |
587594f64cdb4710b4bb34c05d59e426
|
|
| BLAKE2b-256 |
c31ff8c1f1bbc2b8d76358d9cd6ef30577280c04970af198fef95e0bd97860b5
|
