pykan

Kolmogorov Arnold Networks (by KindXiaoming)

Pykan Alternatives

Similar projects and alternatives to pykan

  • efficient-kan

    An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

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  • kan-gpt

    2 pykan VS kan-gpt

    The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better pykan alternative or higher similarity.

pykan reviews and mentions

Posts with mentions or reviews of pykan. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-30.
  • Kolmogorov-Arnold Networks
    7 projects | news.ycombinator.com | 30 Apr 2024
    Update2: got it to 100% training accuracy, 99 test accuracy with (2, 2, 2) shape.

    Changes:

    1. Increased the training set from 1000 to 100k samples. This solved overfitting.

    2. In the dataset generation, slightly reduced noise (0.1 -> 0.07) so that classes don't overlap. With an overlap, naturally, it's impossible to hit 100%.

    3. Most important & specific to KANs: train for 30 steps with grid=5 (5 segments for each activation function), then 30 steps with grid=10 (and initializing from the previous model), and then 30 steps with grid=20. This is idiomatic to KANs and covered in the Example_1_function_fitting.ipynb: https://github.com/KindXiaoming/pykan/blob/master/tutorials/...

    Overall, my impressions are:

    - it works!

    - the reference implementation is very slow. A GPU implementation is dearly needed.

    - it feels like it's a bit too non-linear and training is not as stable as it's with MLP + ReLU.

    - Scaling is not guaranteed to work well. Really need to see if MNIST is possible to solve with this approach.

    I will definitely keep an eye on this development.

Stats

Basic pykan repo stats
3
10,763
9.1
7 days ago

KindXiaoming/pykan is an open source project licensed under MIT License which is an OSI approved license.

The primary programming language of pykan is Jupyter Notebook.


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