Alternatives and similar repositories for dnn_simple_experiments:

Users that are interested in dnn_simple_experiments are comparing it to the libraries listed below

• apivich-h / pinnacle
  🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection
  ☆16Updated 8 months ago
• xuzhiqin1990 / understanding_dl
  A lecture note for understanding deep learning
  ☆301Updated 2 months ago
• lizhihao2022 / Awesome-AI4PDE
  Awesome AI4PDE is a curated list of resources and literature focusing on the intersection of Artificial Intelligence and Partial Differen…
  ☆28Updated last week
• koolo233 / KAN-VS-MLP
  This repo provides some examples (mostly solving PDE) to compare KAN and MLP
  ☆15Updated 10 months ago
• kevinegan31 / ARGOS
  Repository outlining functions and tests for automatic regression of governing equations (ARGOS)
  ☆16Updated last year
• PredictiveIntelligenceLab / ActNet
  Repository for some of the experiments presented in the paper "Deep Learning Alternatives of the Kolmogorov Superposition Theorem", accep…
  ☆10Updated last month
• xgxg1314 / My-awesome-PINN-papers
  ☆22Updated 2 years ago
• isds-neu / PiSL
  A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.
  ☆25Updated 3 years ago
• jhbastek / PhysicsInformedDiffusionModels
  Implementation of Physics-Informed Diffusion Models
  ☆60Updated last month
• pkmtum / Semi-supervised_Invertible_Neural_Operators
  Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems
  ☆13Updated 9 months ago
• zhijie-group / Orthogonal-Neural-operator
  Code for orthogonal neural operator
  ☆14Updated last year
• WooJin-Cho / Parameterized-Physics-informed-Neural-Networks
  ☆26Updated 3 months ago
• SuihongSong / Physics-informed_multi-grid_neural_operator
  ☆18Updated last year
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆31Updated 9 months ago
• zhaoxiaoyu1995 / RecFNO
  This is the implementation of the RecFNO.
  ☆18Updated 2 years ago
• jx-wang-s-group / CoNFiLD
  Code repo for CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence
  ☆32Updated last month
• zwqwo / PINN_scratch
  ☆61Updated 2 years ago
• nicholassung97 / Neuroevolution-of-PINNs
  ☆11Updated last year
• Sysuzqs / DFVM
  Deep finite volume method
  ☆21Updated 9 months ago
• ningliu-iga / DAFNO
  Domain Agnostic Fourier Neural Operators (DAFNO)
  ☆14Updated 6 months ago
• mindspore-ai / mindscience
  ☆43Updated 10 months ago
• bilzinet / pifno
  Physics Informed Fourier Neural Operator
  ☆19Updated 4 months ago
• rasin-tsukuba / JAX_tutorial_Chinese_version
  Translate from: https://jax.readthedocs.io/en/latest
  ☆48Updated 3 years ago
• csccm-iitd / WNO
  ☆47Updated 2 months ago
• menggedu / AutoKE
  An automatic knowledge embedding framework for scientific machine learning
  ☆22Updated 2 years ago
• KrisNguyen135 / bayesian-optimization-in-action
  Source code for Bayesian Optimization in Action, published by Manning
  ☆88Updated last year
• Hrrsmjd / fourier_neural_operator
  Fourier Neural Operator
  ☆10Updated last year
• tonyzyl / DiffusionReconstruct
  Benchmarking of diffusion models for global field reconstruction from sparse observations
  ☆20Updated 3 months ago
• XiangboGaoBarry / KA-Conv
  Fast Convolutional KAN
  ☆58Updated 10 months ago
• SmartTURB / diffusion-lagr
  Synthetic Lagrangian Turbulence by Generative Diffusion Models
  ☆21Updated 4 months ago