Model-driven and no-code solutions to build AI systems without coding
A selection of visual modeling and no-code environments for data science, machine learning and smart apps. The fastest way to start building your own AI components and ML models
AI-based tools to transform interface design mockups into ready-to-use UI code
None of us enjoys wasting time aligning HTML/CSS elements. A tool able to take our rough handmade sketches and transform them into actual UI code is almost a dream come true. Let’s see how close we are to this goal.
Diverse scenario exploration in model finders using graph kernels and clustering
Clustering of model instances by using graph kernels. Make sure you test your models with the most diverse set of examples!
A Generic LSTM-Based Neural Network Architecture to infer Heterogeneous Model Transformations
We propose to take advantage of the advances in Artificial Intelligence and, in particular, Long Short-Term Memory Neural Networks (LSTM), to automatically infer heterogeneous model transformations from sets of input-output model pairs.
Opportunities in Intelligent Modeling Assistance
We present a conceptual reference framework to identify the foundations for intelligent modeling assistance as well as the open challenges and the opportunities they bring to the modeling world.
The low-code handbook
Modeling: all you need to know
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