Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

ML Console is an innovative web application that empowers users to develop robust machine learning models effortlessly, without the need for coding skills. It is tailored for a diverse range of users, including those in marketing, e-commerce, and large organizations, enabling them to construct AI models in under a minute. The application functions entirely in the browser, which keeps user data private and secure. Utilizing cutting-edge web technologies such as WebAssembly and WebGL, ML Console delivers training speeds that rival those of traditional Python-based approaches. Its intuitive interface streamlines the machine learning experience, making it accessible to individuals regardless of their expertise level in AI. Moreover, ML Console is available at no cost, removing obstacles for anyone interested in delving into the world of machine learning solutions. By democratizing access to powerful AI tools, it opens up new possibilities for innovation across various industries.

Description

Maintain your usual routine while working within Jupyter Notebooks or any Python setting. Just invoke modelbi.deploy to launch your model, allowing Modelbit to manage it — along with all associated dependencies — in a production environment. Machine learning models deployed via Modelbit can be accessed directly from your data warehouse with the same simplicity as invoking a SQL function. Additionally, they can be accessed as a REST endpoint directly from your application. Modelbit is integrated with your git repository, whether it's GitHub, GitLab, or a custom solution. It supports code review processes, CI/CD pipelines, pull requests, and merge requests, enabling you to incorporate your entire git workflow into your Python machine learning models. This platform offers seamless integration with tools like Hex, DeepNote, Noteable, and others, allowing you to transition your model directly from your preferred cloud notebook into a production setting. If you find managing VPC configurations and IAM roles cumbersome, you can effortlessly redeploy your SageMaker models to Modelbit. Experience immediate advantages from Modelbit's platform utilizing the models you have already developed, and streamline your machine learning deployment process like never before.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Redshift No 
Databricks No 
Deepnote No 
GitHub No 
GitLab No 
Google Colab No 
Hugging Face Yes 
Jupyter Notebook No 
PyTorch No 
Python Yes 
Snowflake No 
TensorFlow No 
WebAssembly Yes 
WebGL Yes 

Integrations

Amazon Redshift Yes 
Databricks Yes 
Deepnote Yes 
GitHub Yes 
GitLab Yes 
Google Colab Yes 
Hugging Face No 
Jupyter Notebook Yes 
PyTorch Yes 
Python No 
Snowflake Yes 
TensorFlow Yes 
WebAssembly No 
WebGL No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

ML Console

Country

United States

Website

mlconsole.com

Vendor Details

Company Name

Modelbit

Founded

2022

Country

United States

Website

www.modelbit.com

Product Features

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Alternatives

Alternatives

ML.NET Reviews

ML.NET

Microsoft