Alternatives and similar repositories for BlackScholesPINN

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

• mariodeflorio / AI-Lorenz
  ☆33Updated last year
• rocketmlhq / sciml
  Scientific Machine Learning Tutorials
  ☆39Updated 3 years ago
• jbramburger / Data-Science-Methods
  This repository contains lecture notes and codes for the course "Computational Methods for Data Science"
  ☆53Updated 4 years ago
• googleinterns / invobs-data-assimilation
  ☆38Updated 4 years ago
• benmoseley / intro-to-jax-workshop
  Introduction to JAX Workshop @ ETH Zurich, 25 June 2024
  ☆36Updated 4 months ago
• NBoulle / greenlearning
  Learning Green's functions of partial differential equations with deep learning.
  ☆71Updated last year
• KindXiaoming / schrodinger-pca
  Schrodinger Principal Component Analysis
  ☆22Updated 5 years ago
• amazon-science / probconserv
  Datasets and code for results presented in the ProbConserv paper
  ☆53Updated last year
• ethan-pickering / dnosearch
  Active learning of extreme events using deep neural operators.
  ☆17Updated 2 years ago
• Bostanabad-Research-Group / GP-for-pde-solving
  ☆18Updated 9 months ago
• opannekoucke / pdenetgen
  Python package for NN generation from physics
  ☆14Updated 2 years ago
• tum-pbs / PhiML
  Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy
  ☆90Updated this week
• amazon-science / boon
  Datasets and code for results presented in the BOON paper
  ☆44Updated 2 years ago
• ComputationalRadiationPhysics / NeuralSolvers
  Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…
  ☆18Updated 3 years ago
• Romit-Maulik / PAR-RL
  Scaling RLLib for generic simulation environments on Theta
  ☆20Updated 2 years ago
• shawnrosofsky / HAL-Physics-Informed-AI-Tutorial
  ☆16Updated 3 years ago
• qiauil / torchfsm
  TorchFSM: Fourier Spectral Method with PyTorch
  ☆48Updated this week
• atzberg / geo_neural_op
  Geometric Neural Operators (GNPs) for machine learning tasks on point-cloud representations: curvature estimation, shape deformations, so…
  ☆22Updated 2 months ago
• caidao22 / pnode
  A Python library for training neural ODEs.
  ☆25Updated 6 months ago
• Naruki-Ichihara / feax
  A compact, high-performance finite element analysis engine built on JAX.
  ☆30Updated this week
• Rose-STL-Lab / Equivariant-Net
  ☆35Updated 2 years ago
• MartinuzziFrancesco / awesome-scientific-machine-learning
  A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software
  ☆63Updated last year
• LLNL / GPLaSDI
  Gaussian process-based interpretable latent space dynamics identification through deep autoencoder
  ☆34Updated this week
• dynamicslab / langevin-regression
  Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton
  ☆26Updated 3 years ago
• Axect / Neural_Hamilton
  Official implementation of the paper "Neural Hamilton: Can A.I. Understand Hamiltonian Mechanics?"
  ☆12Updated 3 weeks ago
• mia-jinns / jinns
  Physics Informed Neural Networks (PINNs) + SPINNs + HyperPINNs + Adaptative Loss Weights with JAX 📓 Check out our various notebooks to g…
  ☆34Updated 2 weeks ago
• neuraloperator / bootcamp
  Bootcamp notebooks
  ☆55Updated last week
• pmocz / mcmc-python
  Create Your Own Metropolis-Hastings Markov Chain Monte Carlo Algorithm for Bayesian Inference (With Python)
  ☆43Updated 3 months ago
• payel79 / PEDS
  ☆32Updated last year
• lanl / SEPIA
  Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.
  ☆35Updated last year