sidhu2690 / Deep-KANLinks
This repository contains a better implementation of Kolmogorov-Arnold networks
☆63Updated 3 months ago
Alternatives and similar repositories for Deep-KAN
Users that are interested in Deep-KAN are comparing it to the libraries listed below
Sorting:
- Kolmogorov-Arnold Networks with various basis functions like B-Splines, Fourier, Chebyshev, Wavelets etc☆35Updated last year
- Collection of tests performed during the study of the new Kolmogorov-Arnold Neural Networks (KAN)☆39Updated 6 months ago
- This code implements a Radial Basis Function (RBF) based Kolmogorov-Arnold Network (KAN) for function approximation.☆29Updated last year
- Gradient Boosting Reinforcement Learning (GBRL)☆118Updated last month
- Training small GPT-2 style models using Kolmogorov-Arnold networks.☆121Updated last year
- my attempts at implementing various bits of Sepp Hochreiter's new xLSTM architecture☆131Updated last year
- ☆96Updated last year
- Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…☆24Updated last year
- Kolmogorov–Arnold Networks with modified activation (using MLP to represent the activation)☆106Updated 10 months ago
- Kolmogorov-Arnold Networks (KAN) using Chebyshev polynomials instead of B-splines.☆389Updated last year
- Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"☆101Updated 8 months ago
- Swarming algorithms like PSO, Ant Colony, Sakana, and more in PyTorch 😊☆130Updated last week
- A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.☆45Updated last month
- SaLSa Optimizer implementation (No learning rates needed)☆31Updated 4 months ago
- Kolmogorov-Arnold Networks (KAN) using orthogonal polynomials instead of B-splines.☆38Updated 10 months ago
- A modified CNN architecture using Kolmogorov-Arnold Networks☆83Updated last year
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆25Updated 11 months ago
- Official implementation of "Fourier Head: Helping Large Language Models Learn Complex Probability Distributions" (ICLR 2025)☆66Updated 5 months ago
- ☆32Updated last year
- ☆48Updated 8 months ago
- ☆31Updated last year
- Variations of Kolmogorov-Arnold Networks☆115Updated last year
- A system for automating selection and optimization of pre-trained models from the TAO Model Zoo☆25Updated last year
- A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…☆12Updated last year
- Conformal Prediction for Time Series with Modern Hopfield Networks☆79Updated 3 months ago
- Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their…☆154Updated last year
- Classfication metrics and post-hoc calibration☆34Updated 2 months ago
- High order and sparse layers in pytorch. Lagrange Polynomial, Piecewise Lagrange Polynomial, Piecewise Discontinuous Lagrange Polynomial…☆45Updated last year
- A State-Space Model with Rational Transfer Function Representation.☆81Updated last year
- Forecast evaluation library☆100Updated this week