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Life is about feeling its beauty
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Life is about feeling its beauty
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Achievements

Achievement: Pair Extraordinairex4Achievement: QuickdrawAchievement: Pull Sharkx3Achievement: YOLOAchievement: Arctic Code Vault ContributorAchievement: Starstruck

Achievements

Achievement: Pair Extraordinairex4Achievement: QuickdrawAchievement: Pull Sharkx3Achievement: YOLOAchievement: Arctic Code Vault ContributorAchievement: Starstruck

Highlights

  • Pro

Organizations

@NewGround-LLC

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yaricom/README.md

Iaroslav Omelianenko's GitHub statsTop Langs

📖 My Books

📑 My Papers

  • Omelianenko, I. Design of Cluster-Computing Architecture to Improve Training Speed of the Neuroevolution Algorithm. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Ninth International Congress on Information and Communication Technology. ICICT 2024. Lecture Notes in Networks and Systems. Singapore, Springer, ISSN: 2367-3370, 2024. Vol 1012. P. 397-408. DOI: 10.1007/978-981-97-3556-3_32
  • Omelianenko, I. and Sinitsyn, I. Artificial swarm intelligence.International Scientific Technical Journal "Problems of Control and Informatics", 2024, Vol. 69. N 3. P. 91–103. DOI: 10.34229/1028-0979-2024-3-7
  • Omelianeko, I. Simulation of the autonomous maze navigation using the NEAT algorithm.Problems in programming, 2023. Vol. 4, P. 76–89. DOI: 10.15407/pp2023.04.076
  • Omelianeko, I. Artificial Swarm Intelligence and Cooperative Robotic Systems.Preprints.org, 2019, P. 1–8. DOI: 10.20944/preprints201901.0282.v1
  • Omelianenko, I. Creation of Autonomous Artificial Intelligent Agents using Novelty Search method of fitness function optimization.Hal.science, 2018. P. 1–7. URL: https://hal.science/hal-01868756
  • Omelianenko, Iaroslav. Applying Deep Machine Learning for Psycho-Demographic Profiling of Internet Users Using O.C.E.A.N. Model of Personality.arXiv [Cs.LG], 2017. P. 1–24. DOI: 10.48550/arxiv.1703.06914
  • Omelianenko, Iaroslav. Applying Advanced Machine Learning Models to Classify Electro-Physiological Activity of Human Brain for Use in Biometric Identification.arXiv [Cs.LG], 2017. P. 1–8. DOI: 10.48550/arxiv.1708.01167

🔭 Researcher Profiles

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  1. goNEATgoNEATPublic

    The GOLang implementation of NeuroEvolution of Augmented Topologies (NEAT) method to evolve and train Artificial Neural Networks without error back propagation

    Go 80 18

  2. goNEAT_NSgoNEAT_NSPublic

    This project provides GOLang implementation of Neuro-Evolution of Augmenting Topologies (NEAT) with Novelty Search optimization aimed to solve deceptive tasks with strong local optima

    Go 43 7

  3. NewGround-LLC/psistatsNewGround-LLC/psistatsPublic

    Applying Deep Machine Learning for psycho-demographic profiling of Internet users using O.C.E.A.N. model of personality.

    R 19 3

  4. brainhashbrainhashPublic

    Its an attempt to create Brain Hash Algorithm able to find robust distinction between EEG signals of different humans

    Python

  5. comet-ml/comet-java-sdkcomet-ml/comet-java-sdkPublic

    Comet Java SDK

    Java 6 3

  6. comet-ml/opikcomet-ml/opikPublic

    Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

    Python 21.4k 1.7k