Kolmogorov-Arnold networks (KAN) as implicit functions (like NeRF but simpler)
☆15May 16, 2024Updated last year
Alternatives and similar repositories for implicit-kan
Users that are interested in implicit-kan are comparing it to the libraries listed below
Sorting:
- ☆11Dec 16, 2023Updated 2 years ago
- ☆12Jan 9, 2024Updated 2 years ago
- A PyTorch annotated replication of the paper: https://arxiv.org/abs/2006.10637☆18Nov 20, 2020Updated 5 years ago
- ☆42May 10, 2024Updated last year
- X-KANeRF [KANeRF-benchmarking]: KAN based NeRF with various basis functions like B-Splines, Fourier, Gaussians, Wavelets, Polynomials, et…☆181Jun 30, 2024Updated last year
- Official implementation of the paper 'Self-Supervised Low-Light Image Enhancement Using Discrepant Untrained Network Priors' in TCSVT 202…☆22Jun 21, 2022Updated 3 years ago
- [NeurIPS 2022] "Signal Processing for Implicit Neural Representations" by Dejia Xu*, Peihao Wang*, Yifan Jiang, Zhiwen Fan, Zhangyang Wan…☆52Dec 1, 2022Updated 3 years ago
- Better implementation of Kolmogorov Arnold Network☆26Jun 9, 2024Updated last year
- 🚀 A powerful library for efficient training of Neural Fields at scale.☆30Jan 22, 2024Updated 2 years ago
- Distributed Fourier Neural Operators☆32Sep 20, 2022Updated 3 years ago
- Addressing the problem of predicting crime occurrence based on historic records☆11Nov 27, 2019Updated 6 years ago
- a Matlab Toolbox for Tensor Network Decomposition☆10Jan 21, 2024Updated 2 years ago
- Benchmark for efficiency in memory and time of different KAN implementations.☆139Aug 26, 2024Updated last year
- Code repository of ml-without-tears blog: https://mlwithouttears.com/☆36May 15, 2024Updated last year
- MultiscaleGraphSignalTransforms.jl is a collection of software tools written in the Julia programming language for graph signal processin…☆11Sep 13, 2025Updated 5 months ago
- ☆13Jun 18, 2025Updated 8 months ago
- The official implementation of Generalizable Implicit Neural Representations with Instance Pattern Composers(CVPR’23 highlight).☆41Apr 17, 2023Updated 2 years ago
- ☆22Mar 28, 2025Updated 11 months ago
- ☆11Jul 20, 2021Updated 4 years ago
- ☆11Jan 7, 2025Updated last year
- "SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation", WSDM 2025☆14Nov 25, 2025Updated 3 months ago
- ☆14Apr 19, 2023Updated 2 years ago
- Code for ICML21 paper "Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation"☆12Feb 8, 2023Updated 3 years ago
- ☆10Apr 2, 2024Updated last year
- Code for AAAI21 paper "Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning"☆11Feb 15, 2022Updated 4 years ago
- This is the code of paper: Robust Mid-Pass Filtering Graph Convolutional Networks.(paper accepted by WWW2023)☆13Feb 17, 2023Updated 3 years ago
- Linear Attention for Efficient Bidirectional Sequence Modeling☆15May 13, 2025Updated 9 months ago
- ☆33Dec 10, 2025Updated 2 months ago
- Mitigating the Filter Bubble while Maintaining Relevance: Targeted Diversification with VAE-based Recommender Systems☆10Mar 15, 2023Updated 2 years ago
- This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)☆12Jul 10, 2022Updated 3 years ago
- Source code for the paper titled: "Unlocking the full potential of smart charging: Addressing paused and delayed charging problems in ele…☆11May 22, 2024Updated last year
- Graphical intuition to MOSFET square-law☆11Jan 5, 2021Updated 5 years ago
- The official PyTorch implementation of "An Attentional Multi-scale Co-evolving Model for Dynamic Link Prediction" (TheWebConf'23)☆11May 4, 2023Updated 2 years ago
- Einstein Fields official implementation in JAX.☆73Aug 26, 2025Updated 6 months ago
- ☆10Jul 30, 2023Updated 2 years ago
- Code for "What really matters in matrix-whitening optimizers?"☆21Oct 31, 2025Updated 4 months ago
- 2D Gaussian splatting for image compression☆17Nov 29, 2024Updated last year
- Official code for the LoG2022 paper -- MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian.☆13Feb 8, 2025Updated last year
- Interpreting CLIP with Hierarchical Sparse Autoencoders (ICML 2025)☆20Jan 17, 2026Updated last month