Nagi Nagiyev

Nagi Nagiyev

@naginagiyev
Budapest, Hungary
10
Followers
10
Following
20
Public Repos
0
Private Repos

Language Breakdown

Lines of code distribution across 20 owned repositories

24.0M Total LOC
Jupyter Notebook
23,502,705 lines
98.1%
N/A
Python
423,586 lines
1.8%
N/A
Rust
29,290 lines
0.1%
N/A
I

I-Shaped Developer

I-shaped

Specialist — deep expertise in Jupyter Notebook

Jupyter Notebook
Python
Rust

Collaboration Network

Global Impact visualization

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Nagi Nagiyev
0 active collaborators

Repos

21

PRs

0

Growth

+18%

Top Collaborators

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Coding Streak

Contribution activity over the past year

7 days
371
Contributions
150
Commits
0
Pull Requests
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Top Repositories

lmsscraper

Code for ASOIU students to show their grades, absents etc. using a grpahical user interface.

2 0
Python
dslab1

Agentic LLMs for End-to-End ML Lifecycle Orchestration

1 0
Python
baku-flat-price-prediction

This repo contains a machine learning model (CatBoost) trained to predict the price of a flat in Baku, Azerbaijan. It also contains the data used, model itself, cleaning/preprocessing/training codes.

1 0
Python
digit-recognizer

The repository contains codes for training a digit recognizing model on synthetically generated data and the model itself. It is an ensemble of 3 CNN model and performs near 100% accuracy.

0 0
Jupyter Notebook
dtr

DTR (Dynamic Text Renderer) is a python library built in rust that compiles dynamic text templates with pluggable functions, file includes, and variables for fast, embeddable output.

0 0
Rust
music-player-bot

A telegram bot that serves as a music player.

0 0
Python
synthetic-movie-data-generator

A set of scripts that you can use to generate fake movie database. It can be very helpful for learning purposes (e.g databases such as MongoDB or SQL).

0 0
Jupyter Notebook
pigeon

Pigeon is a Windows app for LAN file sharing. Discover people on the same network, share files with drag and drop, and download from each other’s PCs.

0 0
Python
naginagiyev
0 0
image-captioning

This repo contains the training codes of an Encoder-Decoder type image captioning model powered with attention mechanism. The model has been trained from scratch and only resnet model has been used for feature extraction.

0 0
Jupyter Notebook

Open Source Impact

Contributions to external projects

0 merged PRs

No external contributions found.