https://github.com/alperiox/alperiox

https://alperiox.github.io
https://github.com/alperiox/alperiox

Last synced: 5 months ago
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https://alperiox.github.io

• Host: GitHub
• URL: https://github.com/alperiox/alperiox
• Owner: alperiox
• Created: 2020-10-31T11:31:24.000Z (over 5 years ago)
• Default Branch: main
• Last Pushed: 2025-06-11T23:24:43.000Z (about 1 year ago)
• Last Synced: 2025-06-12T00:31:57.252Z (about 1 year ago)
• Homepage:
• Size: 1.28 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
![ezgif-2-6c86a22e466b](https://user-images.githubusercontent.com/34214152/112865580-9bafa700-90c1-11eb-99fb-c6e201a05119.gif)

## About me!

Hello! I'm Alper, 

I finished my undergraduate Mathematics studies as an honorary student, and I love working on deep learning. I'm more interested in stable diffusion and computer vision, trying to build something I deem valuable. I also like to work on mathematical concepts, especially on applied mathematics in higher studies. I want to try and work on things I'm interested in, mainly:

- Generative applications based on stable diffusion

- LLMs and their inner workings ([Andrej Karpathy](https://github.com/karpathy) is just too good as an instructor)

- Deep learning productionalization, from data collection to modeling at scale (trying to learn HPCs!).

- Thanks to one of my instructors, I got interested in applying deep learning to specifically differential equation systems. Hopefully will be able to do it on my own :D

- Statistical mechanics of deep learning methods, especially the learning mechanisms/constraints on LLMs. 

I'm currently an R&D Engineer, specializing in VLMs for reference-based visual grounding.

 **I'm an empirical and imaginative person. I learned mathematics by visualizing my imagination, and I try to implement the same strategy as long as it works :D**

### Languages

[![Python](https://img.shields.io/badge/-Python-000?&logo=python)](https://github.com/alperiox?tab=repositories&q=&type=&language=python)

### Libraries

![PyTorch](https://img.shields.io/badge/-PyTorch-000?&logo=pytorch&logoColor=EE4C2)

![Tensorflow 2](https://img.shields.io/badge/-Tensorflow-000?&logo=TensorFlow&logoColor=FF9900)

![Keras](https://img.shields.io/badge/-Keras-000?&logo=keras&logoColor=D00000)

![Scikit-Learn](https://img.shields.io/badge/-ScikitLearn-000?&logo=scikit-learn&logoColor=f7931e)

#### Other Libraries

![Numpy](https://img.shields.io/badge/-Numpy-000?&logo=numpy&logoColor=013243)

![Pandas](https://img.shields.io/badge/-Pandas-000?&logo=pandas&logoColor=ffffff)

![Scipy](https://img.shields.io/badge/-Scipy-000?&logo=scipy&logoColor=8CAAE6)

![Matplotlib](https://img.shields.io/badge/-Matplotlib-000?&logo=canonical&logoColor=0078d6)

![Seaborn](https://img.shields.io/badge/-Seaborn-000?&logo=canonical&logoColor=0078d6)

![Plotly](https://img.shields.io/badge/-Plotly-000?&logo=plotly&logoColor=3f4f75)

### Technologies

![Git](https://img.shields.io/badge/-Git-000?&logo=git&logoColor=f05032)

![AWS](https://img.shields.io/badge/-AWS-000?&logo=Amazon-AWS&logoColor=FF9900)

![Docker](https://img.shields.io/badge/-Docker-000?&logo=Docker)

![Windows](https://img.shields.io/badge/-Windows-000?&logo=windows&logoColor=0078d6)

![Alper's github stats](https://github-readme-stats.vercel.app/api?username=alperiox&show_icons=true&show=reviews,discussions_started,discussions_answered,prs_merged,prs_merged_percentage&theme=synthwave)