beyucel Goto Github PK
Name: Berkay Yucel
Type: User
Company: Georgia Institute Of Technology
Bio: Georgia Tech Ph.D. student in Materials Informatics ans Machine Learning
Location: Atlanta, GA
Name: Berkay Yucel
Type: User
Company: Georgia Institute Of Technology
Bio: Georgia Tech Ph.D. student in Materials Informatics ans Machine Learning
Location: Atlanta, GA
Fitting module. Used for establishing functions/linkages between material descriptors and process or property parameters.
ππTutorial to implement forms in your Flask app.
Functional Materials Knowledge System
A functional, Data Science focused introduction to Python
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Microstructure Generation module. Creation of a vast variety of randomized microstructures under physical and statistical constraints.
A highly efficient and modular implementation of Gaussian Processes in PyTorch
A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.
Code for the habitat challenge
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Synthetic microstructure generator. Online documentation can be found here:
This repo is specially created for all the work done my me as a part of Coursera's Machine Learning Course.
A collection of machine learning examples and tutorials.
Compilation of resources found around the web connected with Machine Learning, Deep Learning & Data Science in general.
The purpose of this repository is to enable community development of JSON schema within materials science and engineering.
Main module. A GUI that packages all other GUIs into a single coherent application.
A Machine learning toolbox containing algorithms for non-linear dimensionality reduction, clustering, classification and regression along with examples and tutorials which accompany the Master level "Advanced Machine Learning" and "Machine Learning Programming" courses taught at EPFL by Prof. Aude Billard
Minimal and clean examples of machine learning algorithms implementations
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Open Source Neural Machine Translation in PyTorch
p5.js is a client-side JS platform that empowers artists, designers, students, and anyone to learn to code and express themselves creatively on the web. It is based on the core principles of Processing. http://twitter.com/p5xjs β
Practice your pandas skills!
Planetary information for familiarization with git & GitHub basics
Probabilistic Modeling Toolkit for Matlab/Octave.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.