FC-KAN: Function Combinations in Kolmogorov-Arnold Networks
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Updated
Mar 19, 2026 - Python
FC-KAN: Function Combinations in Kolmogorov-Arnold Networks
Implementation of the proposed Spline-Based Transformer from Disney Research
GPS Navigation package. Provides planner and a follow pose for a pure pursuit based controller.
Combine B-Splines (BS) and Radial Basis Functions (RBF) in Kolmogorov-Arnold Networks (KANs)
All-KAN: All Kolmogorov-Arnold Networks We Know
[ECCV 2024] "BeNeRF: Neural Radiance Fields from a Single Blurry Image and Event Stream"
Parametric differentiable curves with PyTorch for continuous embeddings, shape-restricted models, or KANs
Differentiable B-spline surface fitting module
This presents an implementation of a Generative Pre-trained Transformer (GPT) model, focusing on comparing the performance and effectiveness of Kolmogorov-Arnold Networks (KANs) and traditional multilayer perceptron (MLP) layers within the architecture.
Bare-bones Non-Uniform Rational B-Spline (NURBS) Python library. Implemented in Rust.
An python script for register image with SIFT algoritm and comparison them with difference and merge
A Python client for SplineCloud API
A small app to find the optimal racing line over a track drawn by the user.
a tiny and fast B-spline curve which support user interaction.
Julian Valentin's PhD Defense Talk: “B-Splines for Sparse Grids: Algorithms and Application to Higher-Dimensional Optimization”
This repo is just for testing diffrent splines, B-spline, Catmull-Rom spline and NURBS
A collection of Python scripts for CAD algorithms, focusing on curve interpolation, surface generation, and interactive modeling.
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