Pinned Repositories
ComStream
In this project, we implemented a topic detection system on Twitter. This system reads tweets from a data stream and assigns them to one of the existing clusters or a new one. Each cluster acts as an agent, which makes the proposed approach a multi-agent system. There is also a coordinator, who monitors the whole system and coordinates the agent.
Agglomerative-Hierarchical-Clustering-Text-Data
Agglomerative Hierarchical Clustering for Text
ArazShilabin.github.io
CNN-from-Scratch
ComStream
In this project, we implemented a topic detection system on Twitter. This system reads tweets from a data stream and assigns them to one of the existing clusters or a new one. Each cluster acts as an agent, which makes the proposed approach a multi-agent system. There is also a coordinator, who monitors the whole system and coordinates the agent.
english-to-german-translator-using-transformers-from-scratch
english-to-persian-translator
GAN-and-DCGAN
movie-recommender-system
TSP-using-ACO-and-PSO
ArazShilabin's Repositories
ArazShilabin/Agglomerative-Hierarchical-Clustering-Text-Data
Agglomerative Hierarchical Clustering for Text
ArazShilabin/movie-recommender-system
ArazShilabin/ArazShilabin.github.io
ArazShilabin/CNN-from-Scratch
ArazShilabin/ComStream
In this project, we implemented a topic detection system on Twitter. This system reads tweets from a data stream and assigns them to one of the existing clusters or a new one. Each cluster acts as an agent, which makes the proposed approach a multi-agent system. There is also a coordinator, who monitors the whole system and coordinates the agent.
ArazShilabin/english-to-german-translator-using-transformers-from-scratch
ArazShilabin/english-to-persian-translator
ArazShilabin/GAN-and-DCGAN
ArazShilabin/Loan-Approval-Classification
ArazShilabin/Logistic-Regression
Logistic Regression self-implemented for titanic data set
ArazShilabin/LSTM-on-RSCCASN-dataset
ArazShilabin/Poem-Generation-on-Shakespeare
ArazShilabin/SA_with_bert_tokenizer
ArazShilabin/sentiment_analysis_using_bert_tokenizer