DataMelt

DataMelt

jWork.ORG
+

Related Products

  • Qloo
    23 Ratings
    Visit Website
  • Fraud.net
    56 Ratings
    Visit Website
  • Vertex AI
    743 Ratings
    Visit Website
  • JOpt.TourOptimizer
    8 Ratings
    Visit Website
  • Synchredible
    13 Ratings
    Visit Website
  • SDS Manager
    4 Ratings
    Visit Website
  • Adobe PDF Library SDK
    35 Ratings
    Visit Website
  • HR Partner
    176 Ratings
    Visit Website
  • Wiz
    1,062 Ratings
    Visit Website
  • PBRS Power BI Reports Distribution
    12 Ratings
    Visit Website

About

ConvNetJS is a Javascript library for training deep learning models (neural networks) entirely in your browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat. The library allows you to formulate and solve neural networks in Javascript, and was originally written by @karpathy. However, the library has since been extended by contributions from the community and more are warmly welcome. The fastest way to obtain the library in a plug-and-play way if you don't care about developing is through this link to convnet-min.js, which contains the minified library. Alternatively, you can also choose to download the latest release of the library from Github. The file you are probably most interested in is build/convnet-min.js, which contains the entire library. To use it, create a bare-bones index.html file in some folder and copy build/convnet-min.js to the same folder.

About

DataMelt (or "DMelt") is an environment for numeric computation, data analysis, data mining, computational statistics, and data visualization. DataMelt can be used to plot functions and data in 2D and 3D, perform statistical tests, data mining, numeric computations, function minimization, linear algebra, solving systems of linear and differential equations. Linear, non-linear and symbolic regression are also available. Neural networks and various data-manipulation methods are integrated using Java API. Elements of symbolic computations using Octave/Matlab scripting are supported. DataMelt is a computational environment for Java platform. It can be used with different programming languages on different operating systems. Unlike other statistical programs, it is not limited to a single programming language. This software combines the world's most-popular enterprise language, Java, with the most popular scripting language used in data science, such as Jython (Python), Groovy, JRuby.

About

The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.

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

Developers, professionals and researchers seeking a solution for training deep learning models

Audience

scientists, students

Audience

Developers interested in a beautiful but advanced programming language

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

$0
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

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

Review this Software

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

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

ConvNetJS
cs.stanford.edu/people/karpathy/convnetjs/

Company Information

jWork.ORG
Founded: 2005
United States
datamelt.org

Company Information

Python
Founded: 1991
www.python.org

Alternatives

Alternatives

Alternatives

JMP Statistical Software

JMP Statistical Software

JMP Statistical Discovery
Neural Designer

Neural Designer

Artelnics
MXNet

MXNet

The Apache Software Foundation
Ruby

Ruby

Ruby Language

Categories

Categories

Categories

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)

Data Analysis Features

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Mining Features

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

Data Visualization Features

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Deep Learning Features

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Statistical Analysis Features

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

Integrations

Algoreus
Bokeh
Browserbase
CodeSession
Diaflow
FrameworX
GRASS GIS
GoCodeo
MOCEAN
Mendable.ai
Mistral Code
Nova
PuppyGraph
PythonJobsHQ
Riff
RoboTask
Tabscanner
Yandex Data Proc
ispmanager
requests

Integrations

Algoreus
Bokeh
Browserbase
CodeSession
Diaflow
FrameworX
GRASS GIS
GoCodeo
MOCEAN
Mendable.ai
Mistral Code
Nova
PuppyGraph
PythonJobsHQ
Riff
RoboTask
Tabscanner
Yandex Data Proc
ispmanager
requests

Integrations

Algoreus
Bokeh
Browserbase
CodeSession
Diaflow
FrameworX
GRASS GIS
GoCodeo
MOCEAN
Mendable.ai
Mistral Code
Nova
PuppyGraph
PythonJobsHQ
Riff
RoboTask
Tabscanner
Yandex Data Proc
ispmanager
requests
Claim ConvNetJS and update features and information
Claim ConvNetJS and update features and information
Claim DataMelt and update features and information
Claim DataMelt and update features and information
Claim Python and update features and information
Claim Python and update features and information