MrPio / KAN-Continual_Learning_tests
Collection of tests performed during the study of the new Kolmogorov-Arnold Neural Networks (KAN)
☆40Updated 2 months ago
Alternatives and similar repositories for KAN-Continual_Learning_tests
Users that are interested in KAN-Continual_Learning_tests are comparing it to the libraries listed below
Sorting:
- This repository contains a better implementation of Kolmogorov-Arnold networks☆61Updated last year
- This code implements a Radial Basis Function (RBF) based Kolmogorov-Arnold Network (KAN) for function approximation.☆28Updated 11 months ago
- A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.☆43Updated 3 weeks ago
- A simple example of VAEs with KANs☆12Updated last year
- Variations of Kolmogorov-Arnold Networks☆114Updated last year
- A modified CNN architecture using Kolmogorov-Arnold Networks☆79Updated 11 months ago
- ☆31Updated last year
- Kolmogorov-Arnold Networks (KAN) using orthogonal polynomials instead of B-splines.☆36Updated 5 months ago
- ☆88Updated 11 months ago
- Kolmogorov–Arnold Networks with modified activation (using MLP to represent the activation)☆104Updated 6 months ago
- Generate graph/data embeddings multiple ways☆52Updated this week
- Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…☆21Updated last year
- Code repository of ml-without-tears blog: https://mlwithouttears.com/☆34Updated last year
- Combine B-Splines (BS) and Radial Basis Functions (RBF) in Kolmogorov-Arnold Networks (KANs)☆26Updated last week
- All the material needed to use MC-CP and the Adaptive MC Dropout method☆22Updated 7 months ago
- ICLR 2025 - official implementation for "I-Con: A Unifying Framework for Representation Learning"☆80Updated 2 weeks ago
- Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their…☆140Updated 8 months ago
- Kolmogorov-Arnold Networks with various basis functions like B-Splines, Fourier, Chebyshev, Wavelets etc☆34Updated last year
- ☆31Updated last year
- Implementation on how to use Kolmogorov-Arnold Networks (KANs) for classification and regression tasks.☆248Updated 8 months ago
- SaLSa Optimizer implementation (No learning rates needed)☆30Updated this week
- A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…☆12Updated 10 months ago
- Towards Understanding the Mixture-of-Experts Layer in Deep Learning☆29Updated last year
- Benchmark for efficiency in memory and time of different KAN implementations.☆123Updated 8 months ago
- Kolmogorov-Arnold Networks (KAN) using Jacobi polynomials instead of B-splines.☆38Updated last year
- This is the repository for the CONFLARE (CONformal LArge language model REtrieval) Python package.☆18Updated last year
- Extending Conformal Prediction to LLMs☆66Updated 10 months ago
- Implementation of xLSTM in Pytorch from the paper: "xLSTM: Extended Long Short-Term Memory"☆119Updated last month
- my attempts at implementing various bits of Sepp Hochreiter's new xLSTM architecture☆130Updated last year
- Understanding Kolmogorov-Arnold Networks: A Tutorial Series on KAN using Toy Examples☆188Updated 7 months ago