Alternatives and similar repositories for fourier-head

Users that are interested in fourier-head are comparing it to the libraries listed below

• brantondemoss / GrokkingComplexity
  Code for
  ☆27Updated 4 months ago
• sidhu2690 / RBF-KAN
  This code implements a Radial Basis Function (RBF) based Kolmogorov-Arnold Network (KAN) for function approximation.
  ☆28Updated 11 months ago
• ruke1ire / RTF
  A State-Space Model with Rational Transfer Function Representation.
  ☆78Updated 11 months ago
• TariqAHassan / S4Torch
  PyTorch implementation of Structured State Space for Sequence Modeling (S4), based on Annotated S4.
  ☆81Updated last year
• requeima / llm_processes
  ☆59Updated last month
• jmtomczak / vae_kan_example
  A simple example of VAEs with KANs
  ☆12Updated 11 months ago
• nZhangx / TrajectoryFlowMatching
  Code repository for Trajectory Flow Matching
  ☆64Updated 6 months ago
• ml-jku / hopfield-boosting
  ☆31Updated last year
• google-deepmind / spectral_ssm
  ☆31Updated last year
• vvvm23 / mamba-jax
  Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX
  ☆83Updated last year
• ShadeAlsha / ICon
  ICLR 2025 - official implementation for "I-Con: A Unifying Framework for Representation Learning"
  ☆80Updated 2 weeks ago
• autonomousvision / akorn
  [ICLR'25] Artificial Kuramoto Oscillatory Neurons
  ☆83Updated 2 months ago
• CLAIRE-Labo / EvoTune
  Efficiently discovering algorithms via LLMs with evolutionary search and reinforcement learning.
  ☆78Updated 3 weeks ago
• HazyResearch / spacetime
  Code for SpaceTime 🌌⏱️. Proposed in Effectively Modeling Time Series with Simple Discrete State Spaces, ICLR 2023.
  ☆172Updated 2 years ago
• lucidrains / grokfast-pytorch
  Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"
  ☆99Updated 4 months ago
• lucidrains / hl-gauss-pytorch
  The Gaussian Histogram Loss (HL-Gauss) proposed by Imani et al. with a few convenient wrappers for regression, in Pytorch
  ☆59Updated 2 weeks ago
• itsdaniele / jeometric
  Graph neural networks in JAX.
  ☆67Updated 10 months ago
• Zhangyanbo / MLP-KAN
  Kolmogorov–Arnold Networks with modified activation (using MLP to represent the activation)
  ☆104Updated 6 months ago
• lindermanlab / S5
  ☆291Updated 4 months ago
• bm371613 / conditional-flow-matching
  ☆14Updated 11 months ago
• cambridge-mlg / jolt
  ☆11Updated 2 months ago
• kvfrans / jax-flow
  Flow-matching algorithms in JAX
  ☆90Updated 9 months ago
• mkofinas / neural-graphs
  Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
  ☆79Updated 9 months ago
• abacusai / ForecastPFN
  ☆75Updated last year
• epfml / DenseFormer
  ☆81Updated last year
• ml-jku / HopCPT
  Conformal Prediction for Time Series with Modern Hopfield Networks
  ☆77Updated last year
• lucidrains / transformer-directed-evolution
  Explorations into whether a transformer with RL can direct a genetic algorithm to converge faster
  ☆68Updated 2 weeks ago
• sidhu2690 / Deep-KAN
  This repository contains a better implementation of Kolmogorov-Arnold networks
  ☆61Updated last year
• ServiceNow / context-is-key-forecasting
  Context is Key: A Benchmark for Forecasting with Essential Textual Information
  ☆61Updated 3 months ago
• dvruette / barrel-rec-pytorch
  ☆53Updated last year