jloveric / high-order-layers-torch
High order and sparse layers in pytorch. Lagrange Polynomial, Piecewise Lagrange Polynomial, Piecewise Discontinuous Lagrange Polynomial (Chebyshev nodes) and Fourier Series layers of arbitrary order. Piecewise implementations could be thought of as a 1d grid (for each neuron) where each grid element is Lagrange polynomial. Both full connecte…
☆44Updated 9 months ago
Alternatives and similar repositories for high-order-layers-torch:
Users that are interested in high-order-layers-torch are comparing it to the libraries listed below
- This code implements a Radial Basis Function (RBF) based Kolmogorov-Arnold Network (KAN) for function approximation.☆28Updated 9 months ago
- Code repository of the paper "Clifford-Steerable Convolutional Neural Networks"☆47Updated 7 months ago
- C++ and Cuda ops for fused FourierKAN☆76Updated 10 months ago
- A State-Space Model with Rational Transfer Function Representation.☆78Updated 10 months ago
- Kolmogorov-Arnold Networks with various basis functions like B-Splines, Fourier, Chebyshev, Wavelets etc☆32Updated 10 months ago
- Diffusion models in PyTorch☆97Updated last week
- ☆87Updated 9 months ago
- A simple example of VAEs with KANs☆12Updated 10 months ago
- Official repository of Implicit Neural Convolutional Kernels for Steerable CNNs, Zhdanov et al.☆28Updated 3 weeks ago
- Benchmark for efficiency in memory and time of different KAN implementations.☆119Updated 6 months ago
- Kolmogorov-Arnold networks (KAN) as implicit functions (like NeRF but simpler)☆14Updated 10 months ago
- Kolmogorov-Arnold Networks (KAN) using orthogonal polynomials instead of B-splines.☆35Updated 4 months ago
- Explorations into the recently proposed Taylor Series Linear Attention☆95Updated 7 months ago
- Kolmogorov–Arnold Networks with modified activation (using MLP to represent the activation)☆103Updated 4 months ago
- Neural Optimal Transport with Lagrangian Costs☆55Updated 8 months ago
- ☆30Updated 5 months ago
- Implementation of MambaFormer in Pytorch ++ Zeta from the paper: "Can Mamba Learn How to Learn? A Comparative Study on In-Context Learnin…☆20Updated this week
- PyTorch implementation of Structured State Space for Sequence Modeling (S4), based on Annotated S4.☆77Updated last year
- ☆38Updated 10 months ago
- TorchDR - PyTorch Dimensionality Reduction☆96Updated last month
- ☆11Updated last year
- ☆52Updated 5 months ago
- ☆16Updated 3 years ago
- Benchmarking and Testing FastKAN☆72Updated 9 months ago
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆23Updated 2 months ago
- The 2D discrete wavelet transform for JAX☆41Updated 2 years ago
- ☆169Updated 3 months ago
- 🚀 A powerful library for efficient training of Neural Fields at scale.☆28Updated last year