Alternatives and similar repositories for fourier-head

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

• nZhangx / TrajectoryFlowMatching
  Code repository for Trajectory Flow Matching
  ☆69Updated 7 months ago
• jmtomczak / vae_kan_example
  A simple example of VAEs with KANs
  ☆12Updated last year
• mlsquare / xKAN
  Kolmogorov-Arnold Networks with various basis functions like B-Splines, Fourier, Chebyshev, Wavelets etc
  ☆35Updated last year
• ml-jku / HopCPT
  Conformal Prediction for Time Series with Modern Hopfield Networks
  ☆79Updated 3 weeks ago
• requeima / llm_processes
  ☆60Updated 2 months ago
• brantondemoss / GrokkingComplexity
  Code for
  ☆27Updated 6 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
  ☆64Updated 3 weeks ago
• google-deepmind / spectral_ssm
  ☆32Updated last year
• bm371613 / conditional-flow-matching
  ☆14Updated last year
• riverstone496 / awesome-second-order-optimization
  ☆27Updated last year
• lucidrains / grokfast-pytorch
  Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"
  ☆101Updated 6 months ago
• ruke1ire / RTF
  A State-Space Model with Rational Transfer Function Representation.
  ☆78Updated last year
• mkofinas / neural-graphs
  Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
  ☆81Updated 11 months ago
• epfml / DenseFormer
  ☆81Updated last year
• sidhu2690 / RBF-KAN
  This code implements a Radial Basis Function (RBF) based Kolmogorov-Arnold Network (KAN) for function approximation.
  ☆29Updated last year
• kvfrans / jax-flow
  Flow-matching algorithms in JAX
  ☆97Updated 10 months ago
• CLAIRE-Labo / EvoTune
  Efficiently discovering algorithms via LLMs with evolutionary search and reinforcement learning.
  ☆103Updated 2 months ago
• TariqAHassan / S4Torch
  PyTorch implementation of Structured State Space for Sequence Modeling (S4), based on Annotated S4.
  ☆82Updated last year
• Zhangyanbo / MLP-KAN
  Kolmogorov–Arnold Networks with modified activation (using MLP to represent the activation)
  ☆105Updated 7 months ago
• facebookresearch / adjoint_sampling
  code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching"
  ☆99Updated last month
• vvvm23 / mamba-jax
  Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX
  ☆83Updated last year
• akandykeller / NeuralWaveMachines
  Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally …
  ☆72Updated 2 years ago
• lazaratan / meta-flow-matching
  Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
  ☆55Updated 3 months ago
• HazyResearch / spacetime
  Code for SpaceTime 🌌⏱️. Proposed in Effectively Modeling Time Series with Simple Discrete State Spaces, ICLR 2023.
  ☆175Updated 2 years ago
• SHI-Labs / CompactNet
  ☆31Updated last year
• yilundu / ired_code_release
  ☆65Updated last year
• abacusai / ForecastPFN
  ☆78Updated last year
• KindXiaoming / grow-crystals
  Getting crystal-like representations with harmonic loss
  ☆190Updated 2 months ago
• idiap / sigma-gpt
  σ-GPT: A New Approach to Autoregressive Models
  ☆65Updated 10 months ago
• itsdaniele / jeometric
  Graph neural networks in JAX.
  ☆67Updated last year