Keepsake

Keepsake

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About

Dask is open source and freely available. It is developed in coordination with other community projects like NumPy, pandas, and scikit-learn. Dask uses existing Python APIs and data structures to make it easy to switch between NumPy, pandas, scikit-learn to their Dask-powered equivalents. Dask's schedulers scale to thousand-node clusters and its algorithms have been tested on some of the largest supercomputers in the world. But you don't need a massive cluster to get started. Dask ships with schedulers designed for use on personal machines. Many people use Dask today to scale computations on their laptop, using multiple cores for computation and their disk for excess storage. Dask exposes lower-level APIs letting you build custom systems for in-house applications. This helps open source leaders parallelize their own packages and helps business leaders scale custom business logic.

About

Keepsake is an open-source Python library designed to provide version control for machine learning experiments and models. It enables users to automatically track code, hyperparameters, training data, model weights, metrics, and Python dependencies, ensuring that all aspects of the machine learning workflow are recorded and reproducible. Keepsake integrates seamlessly with existing workflows by requiring minimal code additions, allowing users to continue training as usual while Keepsake saves code and weights to Amazon S3 or Google Cloud Storage. This facilitates the retrieval of code and weights from any checkpoint, aiding in re-training or model deployment. Keepsake supports various machine learning frameworks, including TensorFlow, PyTorch, scikit-learn, and XGBoost, by saving files and dictionaries in a straightforward manner. It also offers features such as experiment comparison, enabling users to analyze differences in parameters, metrics, and dependencies across experiments.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Enterprises requiring a solution that provides advanced parallelism for analytics, enabling performance at scale

Audience

Developers in need of a tool to manage their code and enhance the efficiency of their workflows

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Dask
Founded: 2019
dask.org

Company Information

Replicate
United States
keepsake.ai/

Alternatives

Alternatives

Ray

Ray

Anyscale
TensorBoard

TensorBoard

Tensorflow

Categories

Categories

Integrations

Amazon S3
Anaconda
Coiled
Domino Enterprise AI Platform
Google Cloud Platform
Google Cloud Storage
JSON
Kedro
NVIDIA DIGITS
Prefect
PyTorch
Python
Ray
Saturn Cloud
Snorkel AI
Spell
TensorFlow
Union Cloud
Union Pandera
scikit-learn

Integrations

Amazon S3
Anaconda
Coiled
Domino Enterprise AI Platform
Google Cloud Platform
Google Cloud Storage
JSON
Kedro
NVIDIA DIGITS
Prefect
PyTorch
Python
Ray
Saturn Cloud
Snorkel AI
Spell
TensorFlow
Union Cloud
Union Pandera
scikit-learn
Claim Dask and update features and information
Claim Dask and update features and information
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