Alternatives and similar repositories for Deep-KAN

Users that are interested in Deep-KAN are comparing it to the libraries listed below

• se-jaeger / conformal-data-cleaning
  Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…
  ☆23Updated last year
• MrPio / KAN-Continual_Learning_tests
  Collection of tests performed during the study of the new Kolmogorov-Arnold Neural Networks (KAN)
  ☆39Updated 6 months ago
• andrewgcodes / xlstm
  my attempts at implementing various bits of Sepp Hochreiter's new xLSTM architecture
  ☆131Updated last year
• sidhu2690 / RBF-KAN
  This code implements a Radial Basis Function (RBF) based Kolmogorov-Arnold Network (KAN) for function approximation.
  ☆29Updated last year
• mlsquare / xKAN
  Kolmogorov-Arnold Networks with various basis functions like B-Splines, Fourier, Chebyshev, Wavelets etc
  ☆35Updated last year
• NVlabs / gbrl
  Gradient Boosting Reinforcement Learning (GBRL)
  ☆118Updated 2 weeks ago
• donlapark / coverforest
  A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
  ☆44Updated 2 weeks ago
• dholzmueller / probmetrics
  Classfication metrics and post-hoc calibration
  ☆32Updated 2 months ago
• quiqi / relu_kan
  ☆95Updated last year
• kyegomez / swarms-pytorch
  Swarming algorithms like PSO, Ant Colony, Sakana, and more in PyTorch 😊
  ☆129Updated 2 weeks ago
• Zhangyanbo / MLP-KAN
  Kolmogorov–Arnold Networks with modified activation (using MLP to represent the activation)
  ☆106Updated 10 months ago
• CG80499 / KAN-GPT-2
  Training small GPT-2 style models using Kolmogorov-Arnold networks.
  ☆121Updated last year
• SynodicMonth / ChebyKAN
  Kolmogorov-Arnold Networks (KAN) using Chebyshev polynomials instead of B-splines.
  ☆385Updated last year
• Indoxer / LKAN
  Variations of Kolmogorov-Arnold Networks
  ☆115Updated last year
• autogluon / fev
  Forecast evaluation library
  ☆95Updated this week
• robertvacareanu / llm4regression
  Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their…
  ☆153Updated 11 months ago
• ml-jku / hopfield-boosting
  ☆32Updated last year
• vacquaviva / IntroConformalPredictions
  A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…
  ☆12Updated last year
• ml-jku / HopCPT
  Conformal Prediction for Time Series with Modern Hopfield Networks
  ☆79Updated 3 months ago
• vincentblot28 / conformalized_gp
  ☆48Updated 7 months ago
• HazyResearch / spacetime
  Code for SpaceTime 🌌⏱️. Proposed in Effectively Modeling Time Series with Simple Discrete State Spaces, ICLR 2023.
  ☆175Updated 2 years ago
• pg2455 / KAN-Tutorial
  Understanding Kolmogorov-Arnold Networks: A Tutorial Series on KAN using Toy Examples
  ☆194Updated 3 months ago
• tblume1992 / MFLES
  ☆115Updated last year
• TheMody / No-learning-rates-needed-Introducing-SALSA-Stable-Armijo-Line-Search-Adaptation
  SaLSa Optimizer implementation (No learning rates needed)
  ☆31Updated 3 months ago
• nate-gillman / fourier-head
  Official implementation of "Fourier Head: Helping Large Language Models Learn Complex Probability Distributions" (ICLR 2025)
  ☆66Updated 5 months ago
• Rose-STL-Lab / AutoSTPP
  Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…
  ☆25Updated 10 months ago
• SHI-Labs / CompactNet
  ☆31Updated last year
• lucidrains / grokfast-pytorch
  Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"
  ☆101Updated 8 months ago
• jakariaemon / CNN-KAN
  A modified CNN architecture using Kolmogorov-Arnold Networks
  ☆83Updated last year
• pchlenski / manify
  A Python Library for Learning Non-Euclidean Representations
  ☆61Updated 3 weeks ago