Python algorithms used to perform machine learning.
Project description
TearDrop
TearDrop project contains useful algorithms and models for machine learning. You can find here models for deep learning (Working on optimization), supervised learning and unsupervised learning (soon). For the documentation click here.
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
TearDrop-0.0.2.dev1.tar.gz
(12.7 kB
view details)
Built Distribution
File details
Details for the file TearDrop-0.0.2.dev1.tar.gz.
File metadata
- Download URL: TearDrop-0.0.2.dev1.tar.gz
- Upload date:
- Size: 12.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | d854e9f4785397c6b1c89343b4cecb27f7cb1035cba34f8f6218dcc476096aff |
|
| MD5 | 1bef0102e626059bb83cffd96eb893bd |
|
| BLAKE2b-256 | 3a837121b7d51314547979112ed0c1615cd7e2576d466a13c0d4bc559d0ce76b |
File details
Details for the file TearDrop-0.0.2.dev1-py3-none-any.whl.
File metadata
- Download URL: TearDrop-0.0.2.dev1-py3-none-any.whl
- Upload date:
- Size: 17.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | ba95c8119ec97a576558021fbf3e72e174c3994bfc0ef8fbdc8b7c283d9cadd8 |
|
| MD5 | e69e2d26bf09de0956c7ddcec75ab37d |
|
| BLAKE2b-256 | 812d1ed8887682c841cb3bef3368b2727965d36179a35ca3cc999ba09396d0ac |
