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Name: Milad Ramezankhani
Type: User
Bio: My research focuses on data-efficient and uncertainty-aware ML in advanced manufacturing.
Name: Milad Ramezankhani
Type: User
Bio: My research focuses on data-efficient and uncertainty-aware ML in advanced manufacturing.
An Active Transfer Learning (ATL) Framework for Smart Manufacturing with Limited Data: Case Study on Material Transfer in Composites Processing
This repository contains the code and data accompanying the paper entitled "A Data-driven Multi-fidelity Physics-informed Learning Framework for Smart Manufacturing: A Composites Processing Case Study"
This repository presents a JAX implementation of BPINN model developed for curing composite materials. See below for more details: https://open.library.ubc.ca/soa/cIRcle/collections/ubctheses/24/items/1.0432643
Python codes for the course Multicriteria Decision-Making and Design of Experiments.
TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
A beautiful, simple, clean, and responsive Jekyll theme for academics
SkillCorner Open Data with 9 matches of broadcast tracking data.
The slides and the Python code of the tutorial entitled "When Data-efficient Machine Learning Comes to the Rescue: An AI-based Optimization Framework for Advanced Manufacturing" presented as part of SAMPE 2023 conference in Seattle, WA.
This repository presents a JAX implementation of the paper entitled "Meta-Transfer Sequential Learning of Physics-Informed Neural Networks in Advanced Composites Manufacturing". The proposed framework integrates a sequential learning strategy with the meta-transfer learning approach to make the training of PINNs in highly nonlinear systems
This repository presents a series of analysis on the performance of Physics-Informed Neural Networks in vibrational systems. The limitation of PINNs in learning highly nonlinear systems with long temporal domains is discussed and the potential solutions are investigated.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.