Keepsake

Keepsake

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TensorFlow

TensorFlow

5.0 out of 5 stars
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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.

About

An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

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

Audience

Organizations interested in a powerful open source machine learning platform

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

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

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • TensorFlow is awesome for learning and executing machine learning, machine learning models, applications, and more. It's free and open source, and easy to get started.

Cons

  • Not much I don't like about TensorFlow. It's free and open source so how can you dislike it?

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Replicate
United States
keepsake.ai/

Company Information

TensorFlow
Founded: 2015
United States
www.tensorflow.org

Alternatives

Alternatives

Gemini Enterprise Agent Platform

Gemini Enterprise Agent Platform

Google
4.3 out of 5 stars
TensorBoard

TensorBoard

Tensorflow

Categories

Categories

Machine Learning Features

Deep Learning Not Supported
ML Algorithm Library Not Supported
Model Training Supported
Natural Language Processing (NLP) Not Supported
Predictive Modeling Not Supported
Statistical / Mathematical Tools Supported
Templates Not Supported
Visualization Supported

Integrations

Python Supported
ApertureDB Not Supported
Azure Data Science Virtual Machines Not Supported
Comet Not Supported
Flex83 Not Supported
FlytBase Not Supported
Flyte Not Supported
Magenta Studio Not Supported
NVIDIA FLARE Not Supported
NVIDIA NGC Not Supported
NVIDIA Triton Inference Server Not Supported
Polyaxon Not Supported
Snitch AI Not Supported
TFLearn Not Supported
TensorBoard Not Supported
VIKTOR Not Supported
Vast.ai Not Supported
Yandex DataSphere Not Supported
ZenML Not Supported
skillsync Not Supported

Integrations

Python Supported
ApertureDB Supported
Azure Data Science Virtual Machines Supported
Comet Supported
Flex83 Supported
FlytBase Supported
Flyte Supported
Magenta Studio Supported
NVIDIA FLARE Supported
NVIDIA NGC Supported
NVIDIA Triton Inference Server Supported
Polyaxon Supported
Snitch AI Supported
TFLearn Supported
TensorBoard Supported
VIKTOR Supported
Vast.ai Supported
Yandex DataSphere Supported
ZenML Supported
skillsync Supported
Claim Keepsake and update features and information
Claim Keepsake and update features and information
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Claim TensorFlow and update features and information