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Sergey Kolesnikov
Sergey Kolesnikov

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Published in Towards Data Science

·Nov 5, 2021

Classification in the Wild

Let’s dive into classification metrics and discuss a few tricks, which could boost your classification pipeline performance. — Hi, I am Sergey, and I have been working on ML-based projects for the last 5+ years. During my career, I worked on different projects, startups, big companies, won a few competitions, and wrote a few papers. I have also launched the Catalyst — a high-level framework on top of…

Machine Learning

6 min read

Classification in the wild
Classification in the wild

Published in Catalyst Team

·Apr 19, 2021

Catalyst 2021–Accelerated PyTorch 2.0

During the last decade, the Deep Learning progress led to various projects and frameworks. One of the most famous among researchers became the PyTorch one. Thanks to its pure pythonic way of executing and great low-level design, it gathered a lot of attention from the research community. Nevertheless, with great…

Machine Learning

9 min read

Catalyst 2021–Accelerated PyTorch 2.0
Catalyst 2021–Accelerated PyTorch 2.0

Jan 17, 2021

RL in RecSys, an overview

Recommender systems — a retrospective You probably already know that recommender systems are all around you: they select and rank products in marketplaces (Amazon, Yandex) and movies on Netflix/Disney to find the most relevant one to you, they prepare podcasts and select the next track/video on Spotify/Youtube to suit your personal preferences, they filter your…

Data Science

8 min read

RL in RecSys, an overview
RL in RecSys, an overview

Published in PyTorch

·Jul 16, 2020

Catalyst dev blog - 20.07 release

Hi, I am Sergey, the author of the Catalyst — PyTorch library for deep learning research and development. In our previous blog posts, we covered an introduction to the Catalyst and our advanced pipeline for NLP on BERT distillation. In this post, I would like to share with you our…

Data Science

5 min read

Catalyst dev blog - 20.07 release
Catalyst dev blog - 20.07 release

Published in PyTorch

·Jun 2, 2020

Catalyst 101 — Accelerated PyTorch

PyTorch is great framework to create deep learning models and pipelines. Nevertheless, for all its merits, it could use improvements in terms of writing training loops, validating and testing neural networks. …

Machine Learning

6 min read

Catalyst 101 — Accelerated PyTorch
Catalyst 101 — Accelerated PyTorch

Nov 27, 2017

Run, skeleton, run!

2 weeks ago, 13 November, one of the most exiting RL competitions of this year finally end. NIPS 2017: Learning to Run was really interesting and hard to solve. Nevertheless, me and my friend Mikhail Pavlov took 3rd place in the final round and we invited to NIPS conference. …

Machine Learning

5 min read

Run, skeleton, run!
Run, skeleton, run!
Sergey Kolesnikov

Sergey Kolesnikov

https://scitator.com

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