HyperSequence is a data format and library for super-fast training of large machine learning datasets
Project description
HyperSequence is a data format and library for super-fast training of large machine learning datasets. HyperSequence aims to be much faster than conventional data pipelining solutions, especially with larger records.
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 hypersequence-0.10.0.tar.gz.
File metadata
- Download URL: hypersequence-0.10.0.tar.gz
- Upload date:
- Size: 10.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
78c319f3381ad2ae0dd0cc69181eaac32a50e6091651c08274360a3c81bbd894
|
|
| MD5 |
b16f8443ed79cbf7f8838082aa48b810
|
|
| BLAKE2b-256 |
08653501719e25bdc44ea257b72fc393539feed2669d9fba9bd852bba89c4d70
|
File details
Details for the file hypersequence-0.10.0-py3-none-any.whl.
File metadata
- Download URL: hypersequence-0.10.0-py3-none-any.whl
- Upload date:
- Size: 8.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c330975220be1cda47a204ba9fed460bd8996db67b683d16e0f372bb80c1ece3
|
|
| MD5 |
a09c6c8f5b60fefbbaf85fc1c8fd6b11
|
|
| BLAKE2b-256 |
daca71f53ae7b4ecc9fb80c55eefad422d6aa79e04a43e8f0326cb7948f22318
|
