jupyter notebooks for the neural nets and differential equation paper
☆28Apr 22, 2021Updated 5 years ago
Alternatives and similar repositories for NNets-and-Diffeqns
Users that are interested in NNets-and-Diffeqns are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Feb 17, 2021Updated 5 years ago
- ☆10Dec 17, 2019Updated 6 years ago
- ☆42May 8, 2020Updated 6 years ago
- Boosting the training of physics informed neural networks with transfer learning☆27Jun 5, 2021Updated 5 years ago
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆22Aug 10, 2022Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆15Dec 20, 2020Updated 5 years ago
- Demo code for PPINN paper: https://www.sciencedirect.com/science/article/pii/S0045782520304357☆11Oct 23, 2020Updated 6 years ago
- Numerical Methods for Partial Differential Equations (MATH F422 - BITS Pilani)☆14Nov 27, 2017Updated 8 years ago
- Modelling, Simulation & Optimization Laboratory☆11Jun 29, 2021Updated 5 years ago
- Code for reproducing the paper "Neural Networks Fail to Learn Periodic Functions and How to Fix It" as part of the ML Reproducibility Cha…☆11Apr 16, 2021Updated 5 years ago
- ☆11Jan 7, 2025Updated last year
- deep learning with python codes for tf2.x☆14May 28, 2020Updated 6 years ago
- Deep learning library for solving differential equations on top of PyTorch.☆63Jul 30, 2020Updated 6 years ago
- Solving High Dimensional Partial Differential Equations with Deep Neural Networks☆33Dec 21, 2021Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Code for the paper: Solving Linear Inverse Problems using GAN priors☆10Sep 28, 2021Updated 5 years ago
- Operator layers for Flux.jl that allow for the construction of Neural Operator models by using Flux's API. Useful for discretization-inde…☆10Jul 2, 2026Updated 3 months ago
- Implementation of "Use of Deep Learning for Characterization of Microfluidic Soft Sensors" (RA-L and ICRA'2018)☆10Sep 24, 2019Updated 7 years ago
- ☆13Jan 3, 2023Updated 3 years ago
- ☆10May 16, 2022Updated 4 years ago
- Official implementation of the paper "Robust Neural Networks inspired by Strong Stability Preserving Runge-Kutta methods", ECCV 2020.☆16Oct 22, 2020Updated 6 years ago
- Simple radial basis function networks for python☆12May 23, 2017Updated 9 years ago
- polygenic scores using variational inference on GWAS summary statistics from multiple cohorts☆11Dec 7, 2022Updated 3 years ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆44Feb 1, 2023Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Research experiments☆10Mar 3, 2025Updated last year
- A tutorial demonstrating how to implement deep learning models for time series forecasting☆12Jan 28, 2020Updated 6 years ago
- Practicum on Supervised Learning in Function Spaces☆36Feb 17, 2022Updated 4 years ago
- USC seminar review of deep learning application to PDE solving and ROM☆11May 20, 2021Updated 5 years ago
- Physics informed neural network for learning seepage flow models☆22May 3, 2023Updated 3 years ago
- Pre-processing Approaches for Imbalanced Distributions in Regression☆12Feb 21, 2021Updated 5 years ago
- Bayesian Nonparametric Mixture Models in Julia☆14Oct 25, 2017Updated 9 years ago
- Publication of Python code used to train ModalPINN☆11May 5, 2022Updated 4 years ago
- Streaming, Distributed, Asynchronous Bayesian Nonparametric Inference☆12Nov 2, 2015Updated 10 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆11Mar 9, 2018Updated 8 years ago
- Turbulent flow network source code☆72Mar 14, 2025Updated last year
- ☆11Jun 24, 2015Updated 11 years ago
- Perform PIV image pair match using deep conv neural network☆25May 21, 2021Updated 5 years ago
- ☆35Aug 6, 2023Updated 3 years ago
- Indian Buffet Process; Variational Inference☆11Nov 21, 2013Updated 12 years ago
- Code repository for the paper "Learning partial differential equations for biological transport models from noisy spatiotemporal data"☆11Jul 3, 2019Updated 7 years ago