Alternatives and similar repositories for neuromancer

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

• mathLab / PINA
  Physics-Informed Neural networks for Advanced modeling
  ☆692Updated this week
• dynamicslab / pykoopman
  A package for computing data-driven approximations to the Koopman operator.
  ☆404Updated this week
• dynamicslab / pysindy
  A package for the sparse identification of nonlinear dynamical systems from data
  ☆1,739Updated 2 weeks ago
• NeuroDiffGym / neurodiffeq
  A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…
  ☆771Updated 6 months ago
• boschresearch / torchphysics
  OSS library that implements deep learning methods for partial differential equations and much more
  ☆458Updated 3 months ago
• MilesCranmer / lagrangian_nns
  Lagrangian Neural Networks
  ☆535Updated 4 months ago
• pdebench / PDEBench
  PDEBench: An Extensive Benchmark for Scientific Machine Learning
  ☆1,046Updated 8 months ago
• kpchamp / SindyAutoencoders
  ☆379Updated 4 years ago
• benmoseley / FBPINNs
  Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…
  ☆510Updated 2 months ago
• PyDMD / PyDMD
  Python Dynamic Mode Decomposition
  ☆1,172Updated last month
• benmoseley / harmonic-oscillator-pinn
  Code accompanying my blog post: So, what is a physics-informed neural network?
  ☆658Updated 3 years ago
• PredictiveIntelligenceLab / jaxpi
  ☆399Updated 2 months ago
• BethanyL / DeepKoopman
  neural networks to learn Koopman eigenfunctions
  ☆466Updated last year
• patrick-kidger / diffrax
  Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
  ☆1,880Updated last month
• Ceyron / machine-learning-and-simulation
  All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.co…
  ☆1,137Updated last month
• tum-pbs / PhiFlow
  A differentiable PDE solving framework for machine learning
  ☆1,796Updated 2 weeks ago
• google / jax-cfd
  Computational Fluid Dynamics in JAX
  ☆913Updated last week
• greydanus / hamiltonian-nn
  Code for our paper "Hamiltonian Neural Networks"
  ☆503Updated 4 years ago
• lululxvi / deeponet
  Learning nonlinear operators via DeepONet
  ☆750Updated 3 years ago
• Zymrael / awesome-neural-ode
  A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…
  ☆1,512Updated last year
• mroberto166 / CAMLab-DLSCTutorials
  ☆213Updated last year
• jdtoscano94 / NABLA-SciML
  Physics Informed Machine Learning Tutorials (Pytorch and Jax)
  ☆636Updated last week
• GilpinLab / dysts
  Hundreds of strange attractors
  ☆516Updated 3 weeks ago
• dynamicslab / SINDy-PI
  SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics
  ☆160Updated 4 years ago
• dynamicslab / databook_python
  IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Sy…
  ☆959Updated 2 years ago
• rezaakb / pinns-tf2
  PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.
  ☆152Updated last year
• neuraloperator / graph-pde
  Using graph network to solve PDEs
  ☆430Updated 7 months ago
• benmoseley / harmonic-oscillator-pinn-workshop
  Introductory workshop on PINNs using the harmonic oscillator
  ☆139Updated 2 months ago
• tum-pbs / pbdl-book
  Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition
  ☆1,245Updated 5 months ago
• IBM / simulai
  A toolkit with data-driven pipelines for physics-informed machine learning.
  ☆193Updated 4 months ago