OdedMous's repositories
Medical-Text-Classification
Develop a NLP classifier for detecting medical domains in texts, using a Siamese Neural Network. Libraries: PyTorch, HuggingFace, scikit-learn, Plotly
HMM-POS-Tagger
Implement and compare several Hidden Markov Models for a "parts of speech tagging" task.
Enhancing-By-Supporting-tasks-Components
In this project, we propose to deal with the data scarcity problem in a specific NLP task by harnessing existing annotated datasets from related tasks. Our approach involves training a multi-head architecture concurrently on both the main task and these “supporting” tasks. We experimented this approach on medical NLP tasks and on three GLUE tasks.
advanced_nlp_ex1
Fine tuning 3 different pretrained models to perform sentiment analysis on the SST2 dataset.
DP-Decoding-in-LLM
Experiment a differentially private decoding strategy for Large Language Models.
ElectionsDataAnalysis
Analyse the Israeli elections of 2019a, 2019b, 2020 and 2021.
Health-Insurance-Prediction-in-R
Develop a regression model which predicts health expenses for potential insured based on their personal information.
Imbalanced-Dataset
Develop a neural network model which classify cars, trucks and cats, while dealing with imbalanced dataset. In addition, generate an adversarial image that designed to deceive the trained model.
Karger-algorithm-Cpp
Implement with C++ the karger's algorithm which designed to find a minimum cut in a connected graph with high probability.
Medical-Image-Registration
Implement geometry-based and intensity-based registration algorithms between pairs of retinal 2D scans. Libraries: numpy, opencv, skimage
Social-Distance-Detector
Social Distance Detector (using YOLO)
Transfer-Learning
Image Processing