Alternatives and similar repositories for bootcamp

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

• tum-pbs / apebench
  [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…
  ☆76Updated last month
• shawnrosofsky / PINO_Applications
  Applications of PINOs
  ☆128Updated 2 years ago
• PKU-CMEGroup / InverseProblems.jl
  ☆106Updated last week
• VLSF / SNO
  Spectral Neural Operator
  ☆79Updated last year
• camlab-ethz / poseidon
  Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
  ☆145Updated 3 months ago
• PredictiveIntelligenceLab / TRIPODS_Winter_School_2022
  Practicum on Supervised Learning in Function Spaces
  ☆33Updated 3 years ago
• PredictiveIntelligenceLab / USNCCM15-Short-Course-Recent-Advances-in-Physics-Informed-Deep-Learning
  ☆116Updated 5 years ago
• MagriLab / KolSol
  Pseudospectral Kolmogorov Flow Solver
  ☆40Updated last year
• pswpswpsw / nif
  A library for dimensionality reduction on spatial-temporal PDE
  ☆66Updated last year
• ASEM000 / Physics-informed-neural-network-in-JAX
  Example problems in Physics informed neural network in JAX
  ☆80Updated last year
• Crunch-UQ4MI / neuraluq
  ☆182Updated 3 months ago
• tum-pbs / PhiML
  Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy
  ☆90Updated last week
• Zhengyu-Huang / Operator-Learning
  ☆42Updated 2 years ago
• camlab-ethz / ConvolutionalNeuralOperator
  This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
  ☆179Updated 2 months ago
• slimgroup / dfno
  Distributed Fourier Neural Operators
  ☆30Updated 2 years ago
• LLNL / LaSDI
  ☆54Updated 2 years ago
• PhIMaL / DeePyMoD
  ☆48Updated last year
• Photon-AI-Research / NeuralSolvers
  Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…
  ☆152Updated 6 months ago
• tensordiffeq / TensorDiffEq
  Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…
  ☆114Updated 3 years ago
• amazon-science / probconserv
  Datasets and code for results presented in the ProbConserv paper
  ☆53Updated last year
• pswpswpsw / paper-nif
  ☆38Updated last year
• pdearena / pdearena
  ☆264Updated 10 months ago
• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆90Updated 7 months ago
• nickmcgreivy / WeakBaselinesMLPDE
  ☆26Updated last year
• PredictiveIntelligenceLab / PINNsNTK
  ☆97Updated 3 years ago
• remcovandermeer / Optimally-Weighted-PINNs
  ☆41Updated 5 years ago
• tumaer / jax-sph
  JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework
  ☆69Updated 5 months ago
• maziarraissi / HPM
  Hidden physics models: Machine learning of nonlinear partial differential equations
  ☆145Updated 5 years ago
• tum-pbs / Physics-Based-Deep-Learning
  Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
  ☆58Updated 4 years ago
• google-research / data-driven-advection
  ☆193Updated 4 years ago