ldriemeier Goto Github PK
Type: User
Company: @USP
Location: São Paulo-SP, Brazil
Type: User
Company: @USP
Location: São Paulo-SP, Brazil
This is a tutorial in the form of a Jupyter notebook
A Baby Robot's Guide to Reinforcement Learning
The input data is generated via FEA to train a DNN. The DNN learns the curve force-displacement.
This work shows how to train a DNN to learn the maximum displacement in a simple 10 bar truss and when the geometry, boundary and load conditions are fixed. The areas of the 10 bars are randomly selected.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Official repository for Spyder - The Scientific Python Development Environment
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.