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  • šŸ‘‹ Hi, Iā€™m @bumbac
  • šŸ‘€ Iā€™m interested in data mining, AI, simulations and modeling.
  • šŸŒ± Iā€™m currently learning computer vision and pedestrian movement simulations.
  • šŸ“« You can contact me at [email protected].

bumbac's Projects

ai-space-searc icon ai-space-searc

Artificial intelligence fundamentals course, space search, first assignment

big-data-elk icon big-data-elk

Big data project on CTU in Prague 2020. Evaluate dataset of road quality dataset (linescan) using ELK stack: Logstash for collecting and parsing in pipeline for ElasticSearch indexing and later data-visualization and analytics using Kibana. Apache Spark (distributed analytics engine) was used for preprocessing of dataset.

bumbac icon bumbac

Config files for my GitHub profile.

cmgan icon cmgan

Conformer-based Metric GAN for speech enhancement

iterative-sol icon iterative-sol

Numeric mathematics course on CTU inPrague 2021. Various iterative methods for finding solution to system of linear equations, using Julia.

lsi-vector-model icon lsi-vector-model

Web multimedia project on CTU in Prague 2021. Using matrix SVD decomposition create a model for finding similar articles in database. Process involves preprocessing with tokenization, stemmatization, indexing and similarity calculation using tf-idf index.

np-problems icon np-problems

Course projects on various NP and NPH problems on CTU in Prague 2021. Knapsack problem with various approaches, analysis of effectivity and robustness. Instances generation and validation. Approximation algorithms (FPTAS) and advanced iterative methods (genetic algorithm, simulated annealing).

umi-ai icon umi-ai

AI course on CTU in Prague 2021. Projects includes optimal space-search algoritms, NP Hard problem solving using custom approach with research and analysis, hierarchical planning using Lilotane planner with SAT solver glucose4.

vzd-ml icon vzd-ml

ML and data-science course on CTU in Prague 2020. Projects range from preprocessing, data analytics and visualization to prediction, clustering and dimensionality reduction.

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