Caffe vs. DataMelt Comparison


Caffe BAIR	DataMelt jWork.ORG
Learn More about Caffe Update Features for Caffe	Learn More about DataMelt Update Features for DataMelt	Add To Compare	Add To Compare

Caffe	DataMelt
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Caffe: About Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license. Check out our web image classification demo! Expressive architecture encourages application and innovation. Models and optimization are defined by configuration without hard-coding. Switch between CPU and GPU by setting a single flag to train on a GPU machine then deploy to commodity clusters or mobile devices. Extensible code fosters active development. In Caffe’s first year, it has been forked by over 1,000 developers and had many significant changes contributed back. Thanks to these contributors the framework tracks the state-of-the-art in both code and models. Speed makes Caffe perfect for research experiments and industry deployment. Caffe can process over 60M images per day with a single NVIDIA K40 GPU.	DataMelt: 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.
Caffe: 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	DataMelt: Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Supported Chromebook Not Supported
Caffe: Audience Anyone looking for an open-source deep learning framework with expression, speed and modularity	DataMelt: Audience scientists, students
Caffe: Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	DataMelt: Support Phone Support Supported 24/7 Live Support Not Supported Online Not Supported
Caffe: API Offers API Supported	DataMelt: API Offers API Supported
Caffe: Screenshots and Videos View more images or videos	DataMelt: Screenshots and Videos View more images or videos
Caffe: Pricing No information available. Free Version Supported Free Trial Not Supported	DataMelt: Pricing $0 Access to full documentation (examples, Java API documentation, online manual) requires one-time membership payment (20$/user) Free Version Supported Free Trial Not Supported
Caffe: 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	DataMelt: 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

Caffe: Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	DataMelt: Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Supported
Caffe: Company Information BAIR United States caffe.berkeleyvision.org	DataMelt: Company Information jWork.ORG Founded: 2005 United States datamelt.org
Caffe: Alternatives MXNet The Apache Software Foundation	DataMelt: Alternatives NLREG
Caffe: DeepSpeed Microsoft	DataMelt: Simcenter Compose Siemens
Caffe: PyTorch	DataMelt: Microsoft Cognitive Toolkit Microsoft 5.0 out of 5 stars
Caffe: Gemini platform Google 4.3 out of 5 stars	DataMelt: JMP Statistical Software JMP Statistical Discovery 5.0 out of 5 stars
Caffe: NVIDIA GPU-Optimized AMI Amazon View All	DataMelt: Deeplearning4j View All
Caffe: Categories AI Development Supported AI/ML Model Training Supported Deep Learning Supported Neural Network Supported	DataMelt: Categories Artificial Intelligence Supported Data Analysis Supported Data Mining Supported Data Visualization Supported Deep Learning Supported Education Supported Neural Network Supported Statistical Analysis Supported
Caffe: Deep Learning Features Convolutional Neural Networks Not Supported Document Classification Supported Image Segmentation Not Supported ML Algorithm Library Not Supported Model Training Not Supported Neural Network Modeling Not Supported Self-Learning Not Supported Visualization Supported	DataMelt: Deep Learning Features Convolutional Neural Networks Supported Document Classification Supported Image Segmentation Not Supported ML Algorithm Library Supported Model Training Supported Neural Network Modeling Not Supported Self-Learning Supported Visualization Supported Show More Features Artificial Intelligence Features Chatbot Not Supported For eCommerce Not Supported For Healthcare Supported For Sales Not Supported Image Recognition Supported Machine Learning Supported Multi-Language Not Supported Natural Language Processing Supported Predictive Analytics Supported Process/Workflow Automation Not Supported Rules-Based Automation Not Supported Virtual Personal Assistant (VPA) Not Supported Data Analysis Features Data Discovery Supported Data Visualization Supported High Volume Processing Not Supported Predictive Analytics Supported Regression Analysis Supported Sentiment Analysis Not Supported Statistical Modeling Supported Text Analytics Supported Data Mining Features Data Extraction Supported Data Visualization Supported Fraud Detection Not Supported Linked Data Management Not Supported Machine Learning Supported Predictive Modeling Supported Semantic Search Not Supported Statistical Analysis Supported Text Mining Supported Data Visualization Features Analytics Supported Content Management Not Supported Dashboard Creation Not Supported Filtered Views Not Supported OLAP Not Supported Relational Display Not Supported Simulation Models Supported Visual Discovery Supported Statistical Analysis Features Analytics Supported Association Discovery Supported Compliance Tracking Supported File Management Supported File Storage Supported Forecasting Supported Multivariate Analysis Supported Regression Analysis Supported Statistical Process Control Not Supported Statistical Simulation Supported Survival Analysis Supported Time Series Supported Visualization Supported
Caffe: Integrations AWS Elastic Fabric Adapter (EFA) Supported AWS Marketplace Supported Amazon Web Services (AWS) Supported Apache NetBeans Not Supported Docker Supported Eclipse BIRT Not Supported Fabric for Deep Learning (FfDL) Supported Lambda Supported NVIDIA DIGITS Supported OpenVINO Supported Polyaxon Supported Pop!_OS Supported Zebra by Mipsology Supported Show More Integrations View All 13 Integrations	DataMelt: Integrations AWS Elastic Fabric Adapter (EFA) Not Supported AWS Marketplace Not Supported Amazon Web Services (AWS) Not Supported Apache NetBeans Supported Docker Not Supported Eclipse BIRT Supported Fabric for Deep Learning (FfDL) Not Supported Lambda Not Supported NVIDIA DIGITS Not Supported OpenVINO Not Supported Polyaxon Not Supported Pop!_OS Not Supported Zebra by Mipsology Not Supported Show More Integrations View All 2 Integrations
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