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Hi, I'm Nikolay Nikitin

AI/ML researcher in NSS Lab in ITMO University, Head of AutoML Lab, and open-source activist

My research field is AutoML, composite AI, generative design of digital and physical objects, numerical optimization, environmental simulation. I am the chair or AI4Science workshop at ICML conference and AutoML workshop at AINL conference.

I’m currently working on FEDOT framework, GEFEST library and other AI/ML tools. Also, I am a founder of ITMO Opensource Club.

My research papers are available in Google Scholar. How to reach me - [email protected]

Some of my publications, talks and presentations:

In English:

In Russian:

Nikolay Nikitin's Projects

ae_ts icon ae_ts

Auto encoder for time series

awesome-automl icon awesome-automl

Curating a list of AutoML-related research, tools, projects and other resources

awesome-datascience icon awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

c3-web icon c3-web

Web client for C3 system: https://github.com/ifunsoftware/c3-next

cluster_ensembles icon cluster_ensembles

A package for combining multiple partitions into a consolidated clustering. The combinatorial optimization problem of obtaining such a consensus clustering is reformulated in terms of approximation algorithms for graph or hyper-graph partitioning.

fedot-1 icon fedot-1

Knowledge-enriched AutoML framework FEDOT

nemo-multigrid-adaptation icon nemo-multigrid-adaptation

The sources for a modified version of NEMO 3.6 ocean model adapted for multigrid high-resolution Arctic simulation

pep8speaks icon pep8speaks

A GitHub :octocat: app to automatically review Python code style over Pull Requests

ysc-2023-papers icon ysc-2023-papers

YSC 2023 Papers: A complete collection of research papers, code and data from the International Young Scientists Conference 2023 for young researchers and professionals in computational science, Artificial Intelligence, Big Data and Machine Learning.

yt-channels-ds-ai-ml-cs icon yt-channels-ds-ai-ml-cs

A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

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