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What is Keepsake?

Keepsake is an open-source Python library tailored for overseeing version control within machine learning experiments and models. It empowers users to effortlessly track vital elements such as code, hyperparameters, training datasets, model weights, performance metrics, and Python dependencies, thereby facilitating thorough documentation and reproducibility throughout the machine learning lifecycle. With minimal modifications to existing code, Keepsake seamlessly integrates into current workflows, allowing practitioners to continue their standard training processes while it takes care of archiving code and model weights to cloud storage options like Amazon S3 or Google Cloud Storage. This feature simplifies the retrieval of code and weights from earlier checkpoints, proving to be advantageous for model re-training or deployment. Additionally, Keepsake supports a diverse array of machine learning frameworks including TensorFlow, PyTorch, scikit-learn, and XGBoost, which aids in the efficient management of files and dictionaries. Beyond these functionalities, it offers tools for comparing experiments, enabling users to evaluate differences in parameters, metrics, and dependencies across various trials, which significantly enhances the analysis and optimization of their machine learning endeavors. Ultimately, Keepsake not only streamlines the experimentation process but also positions practitioners to effectively manage and adapt their machine learning workflows in an ever-evolving landscape. By fostering better organization and accessibility, Keepsake enhances the overall productivity and effectiveness of machine learning projects.

What is Almeta ML?

Almeta ML enables seamless execution of machine learning computations directly on your website. You can assess the likelihood of purchases or user attrition, identify optimal times to engage your audience, and analyze various other key performance indicators. Launch targeted campaigns, implement promotions, utilize ads for retargeting, and design tailored offers. The platform is compatible with Google Ads, Facebook Ads, Bing Ads, and numerous other advertising networks. Leverage machine learning to evaluate, target, and customize experiences based on user interactions. You have the flexibility to deploy either pre-existing or bespoke models. Utilize insights derived from machine learning to enhance return on ad spend (ROAS), reduce churn rates, and lower overall expenses. Almeta ML operates on a usage-based pricing structure that includes a free tier, allowing you to only pay for the actual events and model calculations you choose to execute. This ensures you can effectively manage costs while benefiting from advanced machine learning capabilities.

Media

Media

No images available

Integrations Supported

Amazon S3
Google Cloud Storage
JSON
PyTorch
Python
TensorFlow
scikit-learn

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Free
Free Version

Pricing Information

$0
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Replicate

Company Location

United States

Company Website

keepsake.ai/

Company Facts

Organization Name

Almeta Cloud

Date Founded

2024

Company Location

United States

Company Website

almeta.cloud

Categories and Features

Machine Learning

Not specified

Version Control

Not specified

Categories and Features

Machine Learning

Not specified

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