Alternatives and similar repositories for KAN-EA

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

• ml-jku / VAG-CO
  ☆11Updated last year
• davidireland3 / LeNSE
  ☆14Updated 2 years ago
• lrnzgiusti / can
  Official repository for Cell Attention Networks
  ☆14Updated last year
• a-norcliffe / Composite-Feature-Selection
  Official Code for the paper: "Composite Feature Selection using Deep Ensembles"
  ☆22Updated 2 years ago
• facebookresearch / LANCER
  Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"
  ☆36Updated last year
• malthee / evolutionary-diffusion
  Applying Evolutionary Computing to Embeddings of Diffusion Models
  ☆11Updated this week
• hamrel-cxu / Invertible-Graph-Neural-Network-iGNN
  Official code for the paper: Invertible Neural Network for Graph Prediction
  ☆9Updated 2 years ago
• snap-research / LargeGT
  Graph Transformers for Large Graphs
  ☆21Updated last year
• zhiqiangzhongddu / HC-GNN
  [DMKD-ECMLPKDD] Hierarchical Message-Passing Graph Neural Networks (https://arxiv.org/abs/2009.03717)
  ☆20Updated last year
• amazon-science / gcp-with-gnns-example
  ☆14Updated 2 years ago
• 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
• COMPiLELab / HyperND
  The implementation of HyperND from the Nonlinear Feature Diffusion on Hypergraphs paper
  ☆13Updated 3 years ago
• KimMeen / STGCN
  A PyTorch implementation of the paper https://arxiv.org/abs/1709.04875
  ☆9Updated 4 years ago
• neildhir / DCBO
  Dynamic causal Bayesian optimisation
  ☆39Updated 2 years ago
• automl / Mamba4Cast
  Mamba4Cast, a zero-shot time series forecasting model, achieves competitive performance and faster inference than transformer-based model…
  ☆32Updated 9 months ago
• ansonb / FeTA_TMLR
  This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)
  ☆12Updated 3 years ago
• JoelNiklaus / loss_landscape
  Code for visualizing the loss landscape of neural nets
  ☆10Updated 4 years ago
• FilippoMB / Total-variation-graph-neural-networks
  Pytorch (PyG) and Tensorflow (Keras/Spektral) implementation of Total Variation Graph Neural Network (TVGNN), as presented at ICML 2023.
  ☆20Updated 4 months ago
• tetrzim / robust-probabilistic-forecasting
  ☆37Updated 3 years ago
• ml-jku / DIffUCO
  ☆49Updated last month
• gengala / egnca
  Official implementation of E(n)-equivariant Graph Neural Cellular Automata
  ☆29Updated last year
• jambo6 / online-neural-cdes
  Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"
  ☆38Updated 2 years ago
• paulilioaica / Differential-Transformer
  ☆17Updated 9 months ago
• MingyuKim87 / NPwSA
  Official PyTorch implementation of NPwSA: "Neural Processes with Stochastic Attention: Paying more attention to the context dataset (ICLR…
  ☆10Updated 3 years ago
• BorgwardtLab / fisher_information_embedding
  Official code for Fisher information embedding for node and graph learning (ICML 2023)
  ☆19Updated 2 years ago
• RPaolino / loopy
  ☆11Updated 11 months ago
• emanuele / DSPFP
  This is a Python implementation of the Doubly Stochastic Projected Fixed Point (DSPFP) algorithm for solving the Quadratic Assignment Pro…
  ☆10Updated 5 years ago
• gravins / Anti-SymmetricDGN
  Official code repository for the papers "Anti-Symmetric DGN: a stable architecture for Deep Graph Networks" accepted at ICLR 2023; "Non-D…
  ☆13Updated 6 months ago
• duongtrung / time-series-temporal-saliency-patterns
  ☆16Updated last year