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yogeshhk/MidcurveNN yogeshhk/MidcurveNN Neural network approaches (image/GAN, graph, LLM) for computing the midcurve of 2D closed polygons, research project with 3 parallel methods.
Open project →
43
Neural network approaches (image/GAN, graph, LLM) for computing the midcurve of 2D closed polygons, research project with 3 parallel methods.
TeX
#cad#computational-geometry#deep-learning#encoder-decoder#geometry#midcurve#midsurface#neural-networks
Fine-tune with local model 6 months ago
help wanted RnD
yogeshhk/MidcurveNN yogeshhk/MidcurveNN Neural network approaches (image/GAN, graph, LLM) for computing the midcurve of 2D closed polygons, research project with 3 parallel methods.
Open project →
43
Neural network approaches (image/GAN, graph, LLM) for computing the midcurve of 2D closed polygons, research project with 3 parallel methods.
TeX
#cad#computational-geometry#deep-learning#encoder-decoder#geometry#midcurve#midsurface#neural-networks
Fine-tune SLM with no GPU/$$$ 6 months ago
enhancement help wanted RnD
yogeshhk/MidcurveNN yogeshhk/MidcurveNN Neural network approaches (image/GAN, graph, LLM) for computing the midcurve of 2D closed polygons, research project with 3 parallel methods.
Open project →
43
Neural network approaches (image/GAN, graph, LLM) for computing the midcurve of 2D closed polygons, research project with 3 parallel methods.
TeX
#cad#computational-geometry#deep-learning#encoder-decoder#geometry#midcurve#midsurface#neural-networks