Name: Muhammad Sinan
Type: User
Company: University of Electronic Science and Technology of China
Bio: Master of Science in Mathematics graduate from the University of Electronic Science and Technology of China and a Prospective scholar in Comp. Math. Inf. Bio.
Location: China
Blog: https://www.researchgate.net/profile/Muhammad_Sinan
Muhammad Sinan's Projects
Arithmetic - Formatter is a method that format the input problems for low standard classes to format them into correct format in case of additiona and subtraction
A python function Caputo Fractional Derivative or Caputo Fractional Differential Operator with Pytorch
ME 539 - Introduction to Scientific Machine Learning
A library for scientific machine learning and physics-informed learning
FastONN - Python based open-source GPU implementation for Operational Neural Networks
Source files and published documents for the FEniCS tutorial.
Initial public release of code, data, and model weights for FourCastNet
Compute fractional differentiation super-fast. Processes time-series to be stationary while preserving memory. cf. "Advances in Financial Machine Learning" by M. Prado.
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
A Hands-on Introduction to Physics-Informed Neural Networks
Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.
Implementation of papers in 100 lines of code.
Physics-Informed Neural networks for Advanced modeling
A Python library for building atomic neural networks
PINN: Deep learning approach the solution of Kawahara Partial Differential Equation
Hands-on tutorial for implementing Physics Informed Neural Networks in Pytorch
Must-read Papers on Physics-Informed Neural Networks.
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
weatherForcasting