Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)
☆22Aug 10, 2022Updated 3 years ago
Alternatives and similar repositories for deep_kolmogorov
Users that are interested in deep_kolmogorov are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆42May 8, 2020Updated 5 years ago
- Solve mass spring damper system with phyics-informed neural networks in MATLAB☆15Sep 9, 2024Updated last year
- DiffNet: A FEM based neural PDE solver package☆12Apr 9, 2024Updated 2 years ago
- Solving High Dimensional Partial Differential Equations with Deep Neural Networks☆34Dec 21, 2021Updated 4 years ago
- Integrating Neural Ordinary Differential Equations, the Method of Lines, and Graph Neural Networks☆18Oct 29, 2023Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Numerical Methods for Partial Differential Equations (MATH F422 - BITS Pilani)☆13Nov 27, 2017Updated 8 years ago
- Material for 'Mathematics of Deep Learning Workshop' (Invited Talk)☆17Mar 25, 2023Updated 3 years ago
- Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations☆157Feb 20, 2020Updated 6 years ago
- ☆26Jul 10, 2025Updated 8 months ago
- A PyTorch implementation of ResNet-preact☆12Aug 5, 2019Updated 6 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93May 11, 2022Updated 3 years ago
- Modelling, Simulation & Optimization Laboratory☆11Jun 29, 2021Updated 4 years ago
- 暑期研究：神经网络解偏微分方程（Neural networks for solving differential equations）☆14Apr 27, 2019Updated 6 years ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Feb 17, 2021Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- 📈 如何用深度强化学习自动炒股☆13Mar 31, 2020Updated 6 years ago
- Taylor moment expansion in Python (JaX and SymPy) and Matlab☆11Nov 26, 2024Updated last year
- jupyter notebooks for the neural nets and differential equation paper☆28Apr 22, 2021Updated 4 years ago
- MLPruning, PyTorch, NLP, BERT, Structured Pruning☆20Jun 29, 2021Updated 4 years ago
- ☆11Nov 13, 2023Updated 2 years ago
- Second-order differentiable PyTorch GRUs in JIT with TorchScript☆13May 10, 2021Updated 4 years ago
- Fourier Neural Operators to solve for Allen Cahn PDE equations☆20Jan 17, 2022Updated 4 years ago
- Artifitial Neural Networks for Solving Ordinary and Partial Differential Equations, in this case, Schrodinger's Equation for One Particle…☆19May 17, 2024Updated last year
- ☆23Apr 5, 2023Updated 3 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- TensorFlow and Numpy implementation of sparsemax☆15Dec 22, 2019Updated 6 years ago
- Deep learning library for solving differential equations on top of PyTorch.☆63Jul 30, 2020Updated 5 years ago
- Some codes used for the numerical examples proposed in https://arxiv.org/abs/1812.05916☆14Sep 6, 2019Updated 6 years ago
- Pytorch code for Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC☆11Mar 1, 2021Updated 5 years ago
- A Fortran 2023 correctness-checking framework supporting expressive idioms for writing assertions and tests☆45Mar 10, 2026Updated 3 weeks ago
- ☆15Jul 9, 2022Updated 3 years ago
- Experimenting with meta-learning approaches to opponent modelling in MARL. Building upon previous public implementations of MADDPG and M3…☆14Apr 26, 2022Updated 3 years ago
- Neural Operators with Applications to the Helmholtz Equation☆11Sep 19, 2024Updated last year
- Official code for SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models (NeurIPS 2023)☆13Mar 4, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Example Code for the Conditional Action Trees Paper☆12May 24, 2021Updated 4 years ago
- Deep Optimal Stopping Project☆16Jun 8, 2019Updated 6 years ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆58Nov 27, 2022Updated 3 years ago
- Attempts to learn reinforcement learning on the stock market☆23Jan 14, 2019Updated 7 years ago
- Stiff Neural Ordinary Differential Equations☆36Jun 7, 2023Updated 2 years ago
- ☆10Feb 22, 2023Updated 3 years ago
- Polynomial bases for spectral element methods.☆14Apr 2, 2026Updated last week