Python codes for Introduction to Computational Stochastic PDE
☆50Mar 9, 2026Updated last week
Alternatives and similar repositories for PICSPDE
Users that are interested in PICSPDE are comparing it to the libraries listed below
Sorting:
- The Density Functional Theory for Electrolyte Solutions☆10Sep 13, 2022Updated 3 years ago
- Differentiable Spline Approximations☆14Sep 3, 2023Updated 2 years ago
- The code used, and a docker image to run it, of the paper `Exploiting locality and physical invariants to design effective Deep Reinforce…☆13Dec 10, 2019Updated 6 years ago
- Code repository for the paper "Learning partial differential equations for biological transport models from noisy spatiotemporal data"☆10Jul 3, 2019Updated 6 years ago
- An python script implementation to solve classical Density Functional Theory for Lennard-Jones fluids on 1D and 3D geometries☆25Oct 4, 2024Updated last year
- Lecture "A computational introduction to stochastic differential equations".☆34Mar 13, 2026Updated last week
- Algorithms for identifying coherent structures in sparse and noisy trajectory datasets☆16Oct 22, 2021Updated 4 years ago
- Extension of dynamax repository to dynamical systems with continuous-time dynamics and measurements sampled at possibly irregular discret…☆20Mar 11, 2026Updated last week
- Input script for Monte Carlo (GCMC) simulations☆20Sep 5, 2024Updated last year
- A multiphase multiphysics dataset and benchmarks for scientific machine learning☆44Feb 2, 2026Updated last month
- PENN code for NeurIPS 2022☆42Jan 11, 2023Updated 3 years ago
- ☆11Mar 24, 2021Updated 4 years ago
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆27Nov 14, 2025Updated 4 months ago
- ☆13May 28, 2021Updated 4 years ago
- ☆15May 21, 2020Updated 5 years ago
- Graph-based operator learning in arbitrary geometries☆36Dec 19, 2025Updated 3 months ago
- Disseration for M.S. in Computer Science of class 2018 at HKU☆12Nov 15, 2017Updated 8 years ago
- I use Python3 to try the experiments on the classic book <Options, Futures and other Derivatives>, the BS model and the sensitivity analy…☆31Jan 4, 2021Updated 5 years ago
- Options are an integral part of hedging strategies, portfolio management and many other facets of the finance industry. And Greeks of an …☆12Jul 10, 2021Updated 4 years ago
- Solutions to exercises in the book *Learn Physics with Functional Programming*☆11Mar 8, 2025Updated last year
- A Deep Learning Library for Modeling Unknown Equations☆26Dec 2, 2025Updated 3 months ago
- Temporal Graph Rewiring Method with Expander Graphs☆12Oct 18, 2024Updated last year
- Auxiliary variable Markov chain Monte Carlo methods☆10Oct 24, 2017Updated 8 years ago
- Pricing autocallable barrier reverse convertibles (aka snowball structure contract) using monte carlo☆14Feb 2, 2023Updated 3 years ago
- Autonomous atom manipulation - in this project, we use deep reinforcement learning algorithms including soft actor-critic, hindsight expe…☆15Mar 6, 2023Updated 3 years ago
- Next generation MCMC samplers with automatic differentiaion and adaptive Poisson thinning☆13Mar 9, 2026Updated last week
- Auto-differentiated descriptors using Enzyme☆12Apr 2, 2025Updated 11 months ago
- Code for Q-learning with parametrized quantum circuits in OpenAI Gym environments.☆13Nov 12, 2021Updated 4 years ago
- This project aims to construct the Equity Implied Volatility surface under the Stochastic Volatility Inspired (SVI) model.☆10Updated this week
- Algorithm which quotes bid and ask prices for a stock and its options continuously by defining a bid-ask spread. Further, outstanding del…☆10Jan 11, 2026Updated 2 months ago
- This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…☆80Dec 5, 2023Updated 2 years ago
- A curated paper list for "Foundation Neural Operators: A Survey on Pretraining Methods, Data Ecosystems, and Efficient Adaptation".☆32Feb 14, 2026Updated last month
- ICON for in-context operator learning☆61Feb 21, 2025Updated last year
- ORC wing model calibrator and simulator.☆13Jun 16, 2024Updated last year
- This is a collection of miscellaneous notes on unix, bash and some code samples for the latter. Most of the material is from @cinsk.☆11Jan 13, 2023Updated 3 years ago
- This repository provides the videos that accompany the paper: Deep Reinforcement Learning Control of Quantum Cartpoles☆10May 22, 2020Updated 5 years ago
- ☆33May 30, 2022Updated 3 years ago
- This course focuses on computational methods in option and interest rate, product’s pricing and model calibration. The first module will …☆11Aug 25, 2022Updated 3 years ago
- Physics Informed Neural Network (PINN) for a projectile motion.☆14Jul 16, 2020Updated 5 years ago