Alternatives and similar repositories for kan-diffusion

Users that are interested in kan-diffusion are comparing it to the libraries listed below

• Adamdad / rational_kat_cu
  ☆73Updated 7 months ago
• yu-rp / KANbeFair
  A More Fair and Comprehensive Comparison between KAN and MLP
  ☆174Updated last year
• JaouadT / KANU_Net
  U-Net architecture with Kolmogorov-Arnold Convolutions (KA convolutions)
  ☆42Updated 3 weeks ago
• StarostinV / convkan
  Convolutional layer for Kolmogorov-Arnold Network (KAN)
  ☆110Updated 5 months ago
• AthanasiosDelis / faster-kan
  Benchmarking and Testing FastKAN
  ☆84Updated last year
• NVlabs / ConvSSM
  ☆66Updated 11 months ago
• Jerry-Master / KAN-benchmarking
  Benchmark for efficiency in memory and time of different KAN implementations.
  ☆132Updated last year
• akaashdash / kansformers
  ☆136Updated last year
• s-sahoo / MuLAN
  [NeurIPS 2024, spotlight] Multivariate Learned Adaptive Noise for Diffusion Models
  ☆30Updated 9 months ago
• chenziwenhaoshuai / Vision-KAN
  KAN for Vision Transformer
  ☆251Updated 11 months ago
• LabForComputationalVision / memorization_generalization_in_diffusion_models
  ☆49Updated last year
• GistNoesis / FusedFourierKAN
  C++ and Cuda ops for fused FourierKAN
  ☆80Updated last year
• belkakari / implicit-kan
  Kolmogorov-Arnold networks (KAN) as implicit functions (like NeRF but simpler)
  ☆14Updated last year
• quiqi / relu_kan
  ☆96Updated last year
• Zhangyanbo / MLP-KAN
  Kolmogorov–Arnold Networks with modified activation (using MLP to represent the activation)
  ☆106Updated 10 months ago
• ngushchin / LightSB
  Pytorch implementation of "Light Schrödinger Bridge" (ICLR 2024)
  ☆59Updated last year
• sangyun884 / fast-ode
  Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023
  ☆88Updated 7 months ago
• SpaceLearner / JacobiKAN
  Kolmogorov-Arnold Networks (KAN) using Jacobi polynomials instead of B-splines.
  ☆40Updated last year
• XJTU-XGU / OTCS
  Code for "Optimal Transport-Guided Conditional Score-Based Diffusion Model (NeurIPS, 8,7,7,6)"
  ☆65Updated last year
• SynodicMonth / ChebyKAN
  Kolmogorov-Arnold Networks (KAN) using Chebyshev polynomials instead of B-splines.
  ☆391Updated last year
• sun-umn / DMPlug
  This is the official implementation of "DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models" (NeurIPS 2024).
  ☆64Updated this week
• hyungjin-chung / CDDB
  Official PyTorch implementation of [Direct Diffusion Bridge using Data Consistency for Inverse Problems](https://arxiv.org/abs/2305.19809…
  ☆53Updated last year
• Shubhamai / pytorch-vqgan
  This repo contains the implementation of VQGAN, Taming Transformers for High-Resolution Image Synthesis in PyTorch from scratch. I have a…
  ☆36Updated last year
• annegnx / PnP-Flow
  Code for PnP-Flow: Plug-and-Play image restoration with Flow Matching (ICLR 2025)
  ☆111Updated this week
• CompVis / discrete-interpolants
  The official implementation of "[MASK] is All You Need"
  ☆124Updated 2 months ago
• thu-ml / DiffusionBridge
  Official codebase for "Diffusion Bridge Implicit Models" (ICLR 2025) and "Consistency Diffusion Bridge Models" (NeurIPS 2024)
  ☆83Updated 2 weeks ago
• xypeng9903 / k-diffusion-inverse-problems
  [ICML 2024] Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance
  ☆54Updated 11 months ago
• badripatro / mamba360
  State Space Models
  ☆70Updated last year
• taehoon-yoon / Diffusion-Probabilistic-Models
  PyTorch implementation for DDPM & DDIM
  ☆33Updated last year
• zhangbingliang2019 / STeP
  STeP: a general and scalable framework for solving video inverse problems with spatiotemporal diffusion priors
  ☆25Updated 3 months ago