kimihsieh Goto Github PK
Name: Kimi Hsieh
Type: User
Bio: Graduate student from Informatics of Technische Universität München. Focusing on Machine Learning, Deep Learning, Optimization methods, and Parallel programming
Location: Munich, Germany
Name: Kimi Hsieh
Type: User
Bio: Graduate student from Informatics of Technische Universität München. Focusing on Machine Learning, Deep Learning, Optimization methods, and Parallel programming
Location: Munich, Germany
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
Final Project of Master-Praktikum: Scientific Computing - Computational Fluid Dynamics in Technische Universität München
Computer Vision Nanodegree Program Projects for Udacity.
fibonacci_app CI/CD practice
Introduction to Deep Learning (I2DL) exercises for Technische Universität München in summer 2019
Machine Learning coding assignments winter 2019 in Technische Universität München
Machine Learning for Graphs and Sequential Data assignments summer 2020 in Technische Universität München
Newton-CG Optimizer NMT
Parallel Programming assignments summer 2019 in Technische Universität München
Parallel Programming assignments summer 2020 in Technische Universität München
Master Practical Course: Programming of Supercomputers [IN2190] assignments for Technische Universität München in winter 2018
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.