DayuanJiang /
next-ai-draw-io
A next.js web application that integrates AI capabilities with draw.io diagrams. This app allows you to create, modify, and enhance diagrams through natural language commands and AI-assisted visualization.
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bia12340 / repository
I created this Game as a final project for the course Matlab and its Applications in Engineering that I had in my year abroad in Barcelona at Universitat Politècnica de Catalunya. I uploaded the full archive. Inside there are the code, the demo and the documentation of the project
This project was developed as the final evaluation for the Matlab and its Applications in Engineering course. The design and implementation were conducted during an Erasmus+ Academic Mobility at the Universitat Politècnica de Catalunya (UPC) in Barcelona, Spain. It demonstrates the practical application of graphical programming and event-driven logic within a technical engineering environment.
The project focuses on the development of a modern, interactive version of the classic Snake Game using MATLAB’s graphical user interface (GUI) capabilities. The primary objective was to create a robust gaming application that integrates real-time user input, dynamic difficulty scaling, and a responsive interface. The study explored the efficiency of MATLAB in handling rapid state updates and collision detection within a matrix-based grid system.
WindowKeyPressFcn callbacks to manage snake navigation with zero-latency response.SnakeGame.mlapp file in the MATLAB App Designer.Selected from shared topics, language and repository description—not editorial ratings.
DayuanJiang /
A next.js web application that integrates AI capabilities with draw.io diagrams. This app allows you to create, modify, and enhance diagrams through natural language commands and AI-assisted visualization.
borisbanushev /
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
coleam00 /
Follow along with my AI Agents Masterclass videos! All of the code I create and use in this series on YouTube will be here for you to use and even build on top of!
Pradumnasaraf /
I created this repository to keep my learning, notes, and code in one place for various tools in DevOps. Now, it's helping thousands of learners, practitioners, and professionals every day in their DevOps journey.
xavier150 /
I have created this addons for export asset from Blender to Unreal Engine
rohitg00 /
Creating this repository as a central hub for all DevOps interview questions to help you land your next job.