mariusbrataas/flowpoints_ml
An intuitive approach to creating deep learning models
This tool helps machine learning engineers and researchers quickly design deep learning models using a visual, drag-and-drop interface. You visually define your neural network architecture, specifying layers and connections, and it outputs the equivalent, ready-to-use Python code in either PyTorch or TensorFlow. It's ideal for prototyping and exploring different model structures without manual coding.
372 stars. No commits in the last 6 months.
Use this if you want to rapidly prototype and visualize deep learning model architectures, generating functional code without extensive manual typing or debugging dimension mismatches.
Not ideal if you require highly custom layer implementations, need fine-grained control beyond standard deep learning operations, or prefer to write all model code from scratch.
Stars
372
Forks
60
Language
JavaScript
License
MIT
Category
Last pushed
Jan 04, 2023
Commits (30d)
0
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