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followers: 8.0 following: 20.0 repos: 151.0 gists: 1.0

Name: Vladislav Melnichuk

Type: User

Company: Social Graph

Bio: The student of the BMSTU (Mathematical Modeling), graduate of Technopark, study ML&DL, develop Social Graph, the official representative of UAI&Terra

Twitter: v_mk_s

Location: Amsterdam, Netherlands

Blog: t.me/v_mk_s

DL Researcher – ADIS | Competitive programming

Hi, I'm Vladislav

I am studying at the Bauman Moscow State Technical University, mathematical modelling department (FS12), 4rd year. I graduated from VK Center under the program "ML Developer" & the University of Artificial Intelligence under the program "Data Science, Machine & Deep Learning".

Find me around the web:

Sharing news, study and life on Telegram channel | @vlamelni_rai

Chat on Telegram | @v_mk_s

Sharing photos on Instagram | @v_mk_s

Work profile on LinkedIn | @v-mk-s

Vladislav Melnichuk's Projects

startyourproject

🌐💻 Social network for IT-team search (ML/DL)

std_function

Homework for the course industrial development in C++ (Technopark)

stylegan3

Official PyTorch implementation of StyleGAN3

summarize.site

Summarize web pages using OpenAI ChatGPT

synthetic-dataset-object-detection

How to Create Synthetic Dataset for Computer Vision (Object Detection) (Article on Medium)

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

technopark_c_c_plus_plus

Материалы для занятий по курсу "Углублённое программирование на C/C++" в Технопарке

technopark_common

textgan-pytorch

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

tgbot-cpp-main

C++ library for Telegram bot API

tinkoff-dl-course

Research has been done in NLP, Transformers, RL, etc.

torch-rnn-char-level

Efficient, reusable RNNs and LSTMs for torch

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

transformersum

Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.