Backpropagation in Python, C++, and Cuda
☆47Feb 17, 2020Updated 6 years ago
Alternatives and similar repositories for backprop
Users that are interested in backprop are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Deep Learning of Turbulent Scalar Mixing☆19Oct 6, 2019Updated 7 years ago
- Parametric Gaussian Process Regression for Big Data (Matlab Version)☆25May 2, 2018Updated 8 years ago
- Machine learning of linear differential equations using Gaussian processes☆27May 2, 2018Updated 8 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆66Feb 20, 2020Updated 6 years ago
- Tutorial on a number of topics in Deep Learning☆38Feb 20, 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. Zero configuration with optimized deployments.
- Introduction to Machine Learning in R☆26May 7, 2021Updated 5 years ago
- Parametric Gaussian Process Regression for Big Data☆47Feb 20, 2020Updated 6 years ago
- Implementations and continuation of some standard computational fluid dynamics problems using the finite volume method☆11Oct 11, 2026Updated last week
- ☆20May 29, 2021Updated 5 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆71May 26, 2020Updated 6 years ago
- Hidden Fluid Mechanics☆372Jan 30, 2023Updated 3 years ago
- 油藏数值模拟☆12Apr 3, 2018Updated 8 years ago
- Tutorial on Gaussian Processes☆67Feb 20, 2020Updated 6 years ago
- Deep Learning of Vortex Induced Vibrations☆103Feb 21, 2020Updated 6 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- SE-PINN: Solving the Schrödinger Equation via Physics-Informed Machine Learning☆11Dec 17, 2025Updated 10 months ago
- ☆26Jun 16, 2018Updated 8 years ago
- ☆15May 11, 2024Updated 2 years ago
- ☆11Oct 20, 2021Updated 4 years ago
- Just Another Logging library for C++☆12Oct 6, 2026Updated last week
- Soleil-X is a turbulence/particle/radiation solver written in the Regent language for execution with the Legion runtime.☆18Jul 16, 2025Updated last year
- This repository contains the MATLAB implementation of popular numerical methods in Computation Fluid dynamics. Starting from simple meth…☆11Dec 3, 2021Updated 4 years ago
- Hidden Fluid Mechanics in PyTorch☆21Nov 6, 2023Updated 2 years ago
- TensorFlow PINN study for a couple of Fokker-Planck equations.☆13Jun 23, 2022Updated 4 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆293Jul 30, 2022Updated 4 years ago
- Data denoising with auto-encoders. Python3/TensorFlow implementation.☆13Jul 6, 2023Updated 3 years ago
- ☆12Jan 29, 2025Updated last year
- Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations☆164Feb 20, 2020Updated 6 years ago
- Implementation of Pre-text invariant representation learning algorithm in pytorch☆11May 27, 2020Updated 6 years ago
- 🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…☆12Apr 29, 2026Updated 5 months ago
- Official implementation of the paper "Neural Hamilton: Can A.I. Understand Hamiltonian Mechanics?"☆14Jun 12, 2026Updated 4 months ago
- The lid-driven cavity is a popular problem within the field of computational fluid dynamics (CFD) for validating computational methods. I…☆16Dec 14, 2021Updated 4 years ago
- CUDA C/C++ scripts for Computational Fluid Dynamics (CFD) for presentation purposes (that goes out)☆46Sep 23, 2017Updated 9 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.
- Code for the paper "Structure-preserving neural networks" published in Journal of Computational Physics (JCP).☆19Aug 18, 2023Updated 3 years ago
- Easily convert OpenFOAM cases into dataframes for machine learning☆13Jan 12, 2025Updated last year
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Mar 20, 2023Updated 3 years ago
- ML-based Surrogate Models to enhance CFD solvers by solving the Pressure Poisson Equation☆12Jan 15, 2026Updated 9 months ago
- C++ implementation of the finite volume method with flux-limiting to solve 2-D compressible Euler Equations (Liska, 2003)☆13Apr 20, 2021Updated 5 years ago
- 2D Simulation of flow through a channel, past a moving cylinder, using the Lattice Boltzmann CFD method.☆11Apr 4, 2016Updated 10 years ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆23Jun 20, 2024Updated 2 years ago