Stepan Tytarenko's repositories

crypto-news

Leveraging the power of OpenAI GPT to process cryptocurrency news and delivering concise summaries directly to your Telegram and Twitter!

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go-EdgeGPT

GoBingChat: A GoLang-powered CLI tool to seamlessly interact with Bing Chat, enabling easy integration into any application.

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nano-BERT

Nano-BERT is a straightforward, lightweight and comprehensible custom implementation of BERT, inspired by the foundational "Attention is All You Need" paper. The primary objective of this project is to distill the essence of transformers by simplifying the complexities and unnecessary details.

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llm-friend-bot

This project seeks to fine-tune the GPT-2.5 model with a personal touch. By training it on personal Telegram chats, we aim to capture the essence of individualized writing styles. To spice things up, we've also fed the model a sprinkle of anecdotes and a dash of math tasks.

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space-model

Space Model framework that allows for maintaining generalizability, and enhances the performance on the downstream task by utilizing task-specific context attribution. It is an external LLM layer, that improves accuracy in classification task for multiple datasets, such as HateXplain, IMDB movies reviews and more.

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warehouse-management-system

An integrated Warehouse Management System leveraging Django, Vue.js, Kotlin, and Raspberry Pi for intelligent logistics automation, role-based access, and real-time package tracking.

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bstree-tango

Tango trees are an advanced binary search tree that aims to optimize the search operation by minimizing rotations. By maintaining a set of preferred paths and adjusting them dynamically, Tango trees ensure efficient access to frequently searche

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go-BingDALLE

GoBingChat: A GoLang-powered CLI tool to seamlessly interact with Bing Image Generator, enabling easy integration into any application.

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news-contest

This repository contains Jupyter notebooks detailing the experiments conducted in our research paper on Ukrainian news classification. We introduce a framework for simple classification dataset creation with minimal labeling effort, and further compare several pretrained models for the Ukrainian language.

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pacman

This is a revised python implementation of the original retro-game Pacman. It has some new ghosts and bonuses types, as well as specific gameplay traits. This is intended to be an environment for future reinforcement learning experiments.

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q-learning

a Python-based platformer infused with Q-Learning and dynamic level creation from simple JSON files.

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rdrone-front

A comprehensive software system leveraging convolutionary neural networks, drones, and IoT for real-time road quality monitoring and alerts. Built using Python, TensorFlow, Django, and Vue.js.

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semi-supervised-regression

COREG with Transformers Exploration: This research project delves into enhancing the COREG algorithm by incorporating transformer models, particularly DistilBERT and DeBERTa. Through rigorous experimentation on various GPU-equipped platforms, the modified COREG seeks to identify confident labels based on the predictions' similarity between models.

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interview-prep

This repository contains C++ solutions for various LeetCode problems, categorized into multiple sections by topics

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pwa-timetable

By offering features like an interactive calendar, real-time notifications, and offline access, this PWA ensures that students can seamlessly manage classes, assignments, and exams, keeping education on track despite the challenges of remote learning

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rdrone-back

A comprehensive software system leveraging convolutionary neural networks, drones, and IoT for real-time road quality monitoring and alerts. Built using Python, TensorFlow, Django, and Vue.js.

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students_nure

A predictive model for postgraduate program enrollment based on historical data, student rankings, and various influencing factors.

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llm-stable-diffusion-movie-creator

ipynb for Google Colab to create a movie using LLM to generate the scenes description and stable diffusion to create visualizations. State of the art stable-diffusion with the most powerful open-source 7B Mistral LLM

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cam-bert

We propose a novel method of fine-tuning the model for a particular downstream task, which proves to be more efficient and generalizable. We show that in an example of a fake news detection task, utilizing three distinct datasets and outperforming the baseline model in both the same dataset and cross-dataset zero-shot test.

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crypto-text-classification

Application of NLP techniques, leveraging transformer models, to predict the impact of news articles on Bitcoin prices. A pre-trained transformer model, on a small manually labeled dataset is expanded by the dataset labeled automatically using a custom Bing API and Bing GPT with internet access.

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stable-diffusion-intro

Educational project on Variational Autoencoders (VAEs) and Stable Diffusion Models. Examples of "dreaming" diffusion models and walking over the latent space. Configuring parameters and understanding the architecture

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stepantita.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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