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Finite Volume simulation of the Kelvin-Helmholtz Instability
Curated list of project-based tutorials
A curated, public list of resources for biomechanics and human motion analysis: datasets, processing tools, software for simulation, educational videos, lectures, etc.
Best Data Science, Data Analytics, AI, and SDE roadmaps. This repository is continually updated based on the top job postings on LinkedIn and Indeed in the data science and AI domain.
janishar / Physics-Books
Forked from manjunath5496/Physics-Books"Physics is really nothing more than a search for ultimate simplicity, but so far all we have is a kind of elegant messiness." ― Bill Bryson, A Short History of Nearly Everything
This is a PINN based approach in solving high temperature heat transfer equations in manufacturing industries, with a focus on reducing the energy consumption and optimizing the sensor positioning.
Physics-Informed and Hybrid Machine Learning in Additive Manufacturing: Application to Fused Filament Fabrication
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
study code for physics informed machine learning and deep learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy
A differentiable PDE solving framework for machine learning
Data Science for Dynamical System Course
Code for the manim-generated scenes used in 3blue1brown videos
Notebooks for the Practicals at the Deep Learning Indaba 2024.
Notebooks for the Practicals at the Deep Learning Indaba 2023.
Notebooks for the Practicals at the Deep Learning Indaba 2022.
Baobab is an open source multi-tenant web application designed to facilitate the application and selection process for large scale meetings within the machine learning and artificial intelligence c…
Practical Notebooks for the Deep Learning Indaba 2018
Deep Learning Indaba 2017 Practical content
Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."
Deep Learning Study Group
Deep Learning Illustrated (2020)