Related Products
|
||||||
About
MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry. MLflow currently offers four components. Record and query experiments: code, data, config, and results. Package data science code in a format to reproduce runs on any platform. Deploy machine learning models in diverse serving environments. Store, annotate, discover, and manage models in a central repository. The MLflow Tracking component is an API and UI for logging parameters, code versions, metrics, and output files when running your machine learning code and for later visualizing the results. MLflow Tracking lets you log and query experiments using Python, REST, R API, and Java API APIs. An MLflow Project is a format for packaging data science code in a reusable and reproducible way, based primarily on conventions. In addition, the Projects component includes an API and command-line tools for running projects.
|
About
Paradise uses robust, unsupervised machine learning and supervised deep learning technologies to accelerate interpretation and generate greater insights from the data. Generate attributes to extract meaningful geological information and as input into machine learning analysis. Identify attributes having the highest variance and contribution among a set of attributes in a geologic setting, Display the neural classes (topology) and their associated colors resulting from Stratigraphic Analysis that indicate the distribution of facies. Detect faults automatically with deep learning and machine learning processes. Compare machine learning classification results and other seismic attributes to traditional good logs. Generate geometric and spectral decomposition attributes on a cluster of compute nodes in a fraction of the time on a single machine.
|
About
Models are temporary, pipelines are forever. Train, Evaluate, Deploy, Repeat. Valohai is the only MLOps platform that automates everything from data extraction to model deployment. Automate everything from data extraction to model deployment. Store every single model, experiment and artifact automatically. Deploy and monitor models in a managed Kubernetes cluster. Point to your code & data and hit run. Valohai launches workers, runs your experiments and shuts down the instances for you. Develop through notebooks, scripts or shared git projects in any language or framework. Expand endlessly through our open API. Automatically track each experiment and trace back from inference to the original training data. Everything fully auditable and shareable.
|
||||
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
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
Companies looking for an open source platform solution for the machine learning lifecycle
|
Audience
Anyone in need of a data analytics and AI tool for geoscience
|
Audience
Companies that need a powerful MLOps platform to improve their operations
|
||||
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
||||
API
Offers API
|
API
Offers API
|
API
Offers API
|
||||
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
||||
Pricing
No information available.
Free Version
Free Trial
|
Pricing
No information available.
Free Version
Free Trial
|
Pricing
$560 per month
Free Version
Free Trial
|
||||
Reviews/
|
Reviews/
|
Reviews/
|
||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
||||
Company InformationMLflow
Founded: 2018
United States
mlflow.org
|
Company InformationGeophysical Insights
Founded: 2009
United States
www.geoinsights.com/products/
|
Company InformationValohai
Founded: 2016
Finland
valohai.com
|
||||
Alternatives |
Alternatives |
Alternatives |
||||
|
|
||||||
|
|
|
|
||||
|
|
||||||
Categories |
Categories |
Categories |
||||
Machine Learning Features
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Artificial Intelligence Features
Chatbot
For eCommerce
For Healthcare
For Sales
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Deep Learning Features
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
Predictive Analytics Features
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
|
||||||
Integrations
Apolo
Axolotl
Azure Data Science Virtual Machines
Azure Machine Learning
Azure Marketplace
Dagster
HoneyHive
IBM watsonx.data integration
Kedro
Kubernetes
|
Integrations
Apolo
Axolotl
Azure Data Science Virtual Machines
Azure Machine Learning
Azure Marketplace
Dagster
HoneyHive
IBM watsonx.data integration
Kedro
Kubernetes
|
Integrations
Apolo
Axolotl
Azure Data Science Virtual Machines
Azure Machine Learning
Azure Marketplace
Dagster
HoneyHive
IBM watsonx.data integration
Kedro
Kubernetes
|
||||
|
|
|
|