CoGian
MSc in Data and Web Science @ Aristotle University of Thessaloniki | Working @atypon
AtyponThessaloniki, Greece
Pinned Repositories
2048-puzzle
ArrivalsAndDepartures_client_server
Demonstrates the use of multithreading , ReadWrite Locks and Sockets to help writers and readers to write , alter , delete and read data from a server using TCP connection.
Blocks_World
An Implementation of Blocks World problem with python. The blocks world is one of the most famous planning domains in artificial intelligence for more info (https://en.wikipedia.org/wiki/Blocks_world)
Detecting-toxic-comments-and-minimizing-of-unintetional-prejudice-using-neural-networks
This is my repository and all the code needed to complete my Bachelor thesis on the detection of toxic comments.
FiniteAutomata
Implementation of Finite Automata(deterministic , non-deterministic and non-deterministic with ε transitions)
keyword-extraction-with-greekBERT
Keyword/Keyphrase extraction from greek biomedical text using BERT and a diversification method. We also created a novel greek biomedical dataset.
MyDoctor
MyDoctor is a Java project that helps in the operation of hospitals ,specifically in the making of appointments and the drawing of different statistics.This project was created within the course of Software Engineering.We are students of the Department of Applied Informatics of the University of Macedonia.
toxicity-detection-in-text
This work focuses on the development of machine learning models, in particular neural networks and SVM, where they can detect toxicity in comments. The topics we will be dealing with: a) Cost-sensitive learning, b) Class imbalance
us-politics-analysis
Clustering-BD
Clustering Project in Big Data
CoGian's Repositories
CoGian/Detecting-toxic-comments-and-minimizing-of-unintetional-prejudice-using-neural-networks
This is my repository and all the code needed to complete my Bachelor thesis on the detection of toxic comments.
CoGian/toxicity-detection-in-text
This work focuses on the development of machine learning models, in particular neural networks and SVM, where they can detect toxicity in comments. The topics we will be dealing with: a) Cost-sensitive learning, b) Class imbalance
CoGian/FiniteAutomata
Implementation of Finite Automata(deterministic , non-deterministic and non-deterministic with ε transitions)
CoGian/2048-puzzle
CoGian/keyword-extraction-with-greekBERT
Keyword/Keyphrase extraction from greek biomedical text using BERT and a diversification method. We also created a novel greek biomedical dataset.
CoGian/CAN-Pytorch
CoGian/CoGian
CoGian/ConcurrentCalculationOfIntegral
Demonstrates the use of multithreading,monitors and sockets to calculate an approximation of π using arithmetic integration.
CoGian/content-based-recommendation-system-for-books
Content-based recommendation system .The data sets are from Book-Crossing (http://www2.informatik.unifreiburg. de/~cziegler/BX/)
CoGian/examsjan19
CoGian/examssept18
CoGian/hashcode2k18
CoGian/hashcode2k19
CoGian/Interpretable-Multi-Label-Learning
CoGian/kgoe-prtoject5-RML_Mapping-GraphDB-RDF4J
CoGian/ML_projects
CoGian/mypy
Optional static typing for Python
CoGian/MySpot
CoGian/NLP-with-Disaster-Tweets
CoGian/Plants_Clustering
CoGian/Programming-Languages-and-Compilers-exercises
The exercises from my university course 'PROGRAMMING LANGUAGES AND COMPILERS' using Flex and Bison
CoGian/python-pubsub
CoGian/RSPapers
Must-read papers on Recommender System.
CoGian/Scalable-Processing-of-Dominance-Based-Queries
The following repo focuses on the exploration and discovery of Skyline and top-k dominating points, utilizing the Big Data unified processing engine Spark. The data point creation, as well as an analytical explanation of the methods, employed for each task and their results, are thoroughly presented.
CoGian/semantic-search-engine
CoGian/sentence-transformers
Multilingual Sentence & Image Embeddings with BERT
CoGian/spark-in-practise
CoGian/ted_text_classification
CoGian/tensorflow
An Open Source Machine Learning Framework for Everyone
CoGian/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.