AntonioTepsich/Convolutional-KANs

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable non linear activations in each pixel.

918 97 +0/wk

GitHub

cnn computer-vision deep-learning

Trend 0

Star & Fork Trend (32 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 918

forks 97

Growth Velocity

AntonioTepsich/Convolutional-KANs has +0 stars this period . 7-day velocity: -0.1%.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric	Convolutional-KANs	mlsql	muse-maskgit-pytorch	Pytorch-Project-Template
Stars	918	918	919	917
Forks	97	68	86	190
Weekly Growth	+0	+0	+0	+0
Language	Jupyter Notebook	Python	Python	Python
Sources	1	1	1	1
License	MIT	N/A	MIT	MIT

Capability Radar vs mlsql

Convolutional-KANs

mlsql

Maintenance Activity 0

Last code push 365 days ago.

Community Engagement 53

Fork-to-star ratio: 10.6%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 95

Licensed under MIT. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.