Adriatogi
Currently a student at Stanford University studying Computer Science. Passionate about developing technologies for greater good.
Pinned Repositories
2.5D-Platformer-Pro
507B_2021
Chemical-Generative-Deep-Learning
Generative deep learning approaches in novel chemical generation using natural language processing (NLP) methodologies
Graffiti_Segmentation
Segmenting Graffiti from Images by fine-tuning SegFormer with custom dataset
MoA
Together Mixture-Of-Agents (MoA) – 65.1% on AlpacaEval with OSS models
Space-Shooter-Pro
A 2D arcade space shooter built using C# in the Unity Game Engine.
spotify-albums
Adds the ability to catalog your liked albums from Spotify. Interacts with your own Spotify API. Frontend uses React and Redux, while backend uses Flask, Python, and Click.
The-Great-Rick-And-Morty-Quiz
A small three question personality quiz built using JavaScript, CSS, HTML, the jQuery library, and the Bootstrap library.
wilds
A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
CS238-Final-Project
Using Forward Search and Q-Learning to create an automated agent in order to park a 2D car, simulated in the CARLO simulator.
Adriatogi's Repositories
Adriatogi/Space-Shooter-Pro
A 2D arcade space shooter built using C# in the Unity Game Engine.
Adriatogi/The-Great-Rick-And-Morty-Quiz
A small three question personality quiz built using JavaScript, CSS, HTML, the jQuery library, and the Bootstrap library.
Adriatogi/2.5D-Platformer-Pro
Adriatogi/507B_2021
Adriatogi/Chemical-Generative-Deep-Learning
Generative deep learning approaches in novel chemical generation using natural language processing (NLP) methodologies
Adriatogi/Graffiti_Segmentation
Segmenting Graffiti from Images by fine-tuning SegFormer with custom dataset
Adriatogi/MoA
Together Mixture-Of-Agents (MoA) – 65.1% on AlpacaEval with OSS models
Adriatogi/spotify-albums
Adds the ability to catalog your liked albums from Spotify. Interacts with your own Spotify API. Frontend uses React and Redux, while backend uses Flask, Python, and Click.
Adriatogi/wilds
A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
Adriatogi/Pluralsight-Programming
Adriatogi/Rubys-Adventure-2D-Beginner
Adriatogi/Sudoku-Game