NewronAI: Machine Learning, Made Simple. Client SDK for Newron AI
Project description
newron-sdk - Just init().
Machine Learning, Made Simple
Newron is the machine learning platform for individuals and teams, designed for simplicity, speed and collaboration, and built to integrate with your favourite machine learning frameworks.
It provides a frictionless machine learning development experience to take care of the hard things: automatically track experiments, version models, reproduce models, visualize results and share findings within your the team or the broader ML community
It is easy to set up and enables ML engineers to develop, improve and deploy machine learning models with confidence and ease.
Installation
Usage
import newron
newron.init( "projectName","experimentName", "Description")
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
newron-sdk-0.1.4.tar.gz
(647.2 kB
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 newron-sdk-0.1.4.tar.gz.
File metadata
- Download URL: newron-sdk-0.1.4.tar.gz
- Upload date:
- Size: 647.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
118bbca7d7d2f87386d55fc4e673f5df95f5f8172a7f1026a45488d61854df90
|
|
| MD5 |
08a3ee9cc14f592a92c73e1ec75db103
|
|
| BLAKE2b-256 |
20ec5ad524a97de7edeecc8a74cfaff0064a7cd410f764486cd6ba0f2b297084
|
File details
Details for the file newron_sdk-0.1.4-py2.py3-none-any.whl.
File metadata
- Download URL: newron_sdk-0.1.4-py2.py3-none-any.whl
- Upload date:
- Size: 25.7 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
95a03be5e538e5e1a478dd2b43430eab9ef210d87d87fc3ea859b3c00f68b661
|
|
| MD5 |
db6a9cc598a3e06d1d5b7fe2f2a84ed0
|
|
| BLAKE2b-256 |
c143bfe14ece1fb9fe1b95f2c7d6aa0eacc6c2c0cfb589c3da7f140d80f49a29
|
