Fine-tuning DETR model to detect any object. DETR for balloons detection.

Snake game, it is written in python

FSE Project: Chatbot (LLama 3.2), trained on "Harry Potter" movies

Pipeline for segmenting objects in images using text prompts with SAM (Segment Anything) and CLIP models

Audio denoising model, based on Conformer (Transformer for Speech Recognition).

Representation Learning by Learning to Count on ImageNet implementation

ML competition abount prediciting a customers behavior. Our command took 1st place. Catboost + LightGBM + MLP-PLR.

Denoising Diffusion Probabilistic Model on MNIST.

Variational Auto-Encoder (VAE) on MNIST

DataWagon hackathon. Our command took 1-st place

Рекуррентные Нейронные Сети. Dropout. LM. Кряк pytorch.

First article try

Web server to use custom implementations of Random Forest and Gradient Boosting algorithms.

Algorithms and Data Structures