jupyter notebooks for the neural nets and differential equation paper
☆28Apr 22, 2021Updated 4 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:
- Basic deep learning models in PyTorch.☆10May 18, 2020Updated 5 years ago
- A simple Physics Informed Neural Network (PINN) implementation in TensorFlow 2 for magnetic field mapping using finite amount of magnetic…☆11Jun 7, 2022Updated 3 years ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Feb 17, 2021Updated 5 years ago
- ☆42May 8, 2020Updated 5 years ago
- pythorcn implementation of a vanilla RNN☆11Oct 17, 2021Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Boosting the training of physics informed neural networks with transfer learning☆27Jun 5, 2021Updated 4 years ago
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆22Aug 10, 2022Updated 3 years ago
- HODMD algorithm from Le Clainche & Vega, SIAM J. on Appl. Dyn. Sys. 16(2), 882-925, 2017☆13Nov 14, 2017Updated 8 years ago
- Interface and algorithms for finding periodic orbits (stable or unstable) in dynamical systems☆14Sep 5, 2025Updated 7 months ago
- Demo code for PPINN paper: https://www.sciencedirect.com/science/article/pii/S0045782520304357☆11Oct 23, 2020Updated 5 years ago
- Code and datasets for paper "Assessing Weighted Physics Informed Neural Networks in Ocean Modelling"☆12Dec 9, 2022Updated 3 years ago
- DistMesh - A Simple Mesh Generator in MATLAB☆15Apr 29, 2013Updated 12 years ago
- A structured mesh generator using transfinite interpolation (TFI)☆20May 8, 2017Updated 8 years ago
- ☆15Dec 20, 2020Updated 5 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.
- 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
- A set of functions for well-known Cumulative Distribution Function (CDF)-based distance measure☆15Jan 5, 2024Updated 2 years ago
- ☆11Jan 7, 2025Updated last year
- 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 4 years ago
- ☆19Oct 17, 2021Updated 4 years ago
- Solving High Dimensional Partial Differential Equations with Deep Neural Networks☆34Dec 21, 2021Updated 4 years ago
- Official implementation of the paper "Robust Neural Networks inspired by Strong Stability Preserving Runge-Kutta methods", ECCV 2020.☆15Oct 22, 2020Updated 5 years ago
- Variational Auto-encoder with Non-parametric Bayesian Prior☆44May 18, 2017Updated 8 years ago
- This is a 2-D Transfinite Interpolation (TFI) Grid or Mesh Generation with Smoothing Procedures. Also include data structures writing for…☆19Mar 27, 2020Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Fast and Efficient Tool to Simulate Summary Statistics from Genome-Wide Association Studies☆12May 21, 2024Updated last year
- deep learning with python codes for tf2.x☆14May 28, 2020Updated 5 years ago
- Physics informed neural network for learning seepage flow models☆20May 3, 2023Updated 2 years ago
- Gallery of visualizations and analyses of the Allen Brain Observatory☆25Aug 10, 2022Updated 3 years ago
- A tutorial demonstrating how to implement deep learning models for time series forecasting☆12Jan 28, 2020Updated 6 years ago
- Pre-processing Approaches for Imbalanced Distributions in Regression☆12Feb 21, 2021Updated 5 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
- ☆13Dec 19, 2023Updated 2 years ago
- Simplified implementation of locally adaptive activation functions (LAAF) with slope recovery for deep and physics-informed neural networ…☆31Mar 8, 2021Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- GPL Number Field Sieve implementation☆35Apr 24, 2011Updated 14 years ago
- Streaming, Distributed, Asynchronous Bayesian Nonparametric Inference☆12Nov 2, 2015Updated 10 years ago
- Bayesian Nonparametric Mixture Models in Julia☆14Oct 25, 2017Updated 8 years ago
- Biologically-informed neural networks☆40Dec 3, 2020Updated 5 years ago
- ☆35Aug 6, 2023Updated 2 years ago
- DiffNet: A FEM based neural PDE solver package☆12Apr 9, 2024Updated 2 years ago
- ☆11Jun 24, 2015Updated 10 years ago