Neural Arabic text diacritization
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Updated
Mar 24, 2023 - Jupyter Notebook
Neural Arabic text diacritization
The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using transaction data from the Limit Order Book (LOB).
Bimodal and Unimodal Sentiment Analysis of Internet Memes (Image+Text)
Early mouse gesture recognition experiments / Delphi
Implementations of various deep learning pipelines
Feed Forward Neural Network for Sentiment Classification and Language Modeling
Face Recognition by Eigenface method with the trained Feed Forward Neural Network and other classifiers applied to biometric attendance system functional on static-images.
Basic neural network in Python.
A repository of assignments performed during the Advanced Machine Learning course.
Analyze the active regulatory region of DNA using FFNN and CNN
Designed and implemented POS taggers using Feed Forward Neural Networks and LSTMs and evaluated them using accuracy, f1 score and confusion matrix. Did extensive hyperparameter tuning to achieve high performance. INLP Assignment, Monsoon '24.
This repository introduces Artificial Intelligence with a focus on Long Short-Term Memory Recurrent Neural Networks (LSTM-RNN). Initially intended as supplementary lecture material, it helps readers understand LSTM-RNN and its evolution since the 1990s. Modern research on LSTM-RNN uses updated notations and more concise derivations.
A repository with Advanced Machine Learning Course Assignments (FFNN, AutoEncoders, CNN, TL, HPO)
A feed forward neural network (FFNN) is built to recognize the gray-scale images of hand-drawn digits from zero through nine using tensorflow.
Web UI for the data behind PicPic, an automatic image selection tool for news articles
A Face Detection and Recognition system based on Eigenface method
Данные проекты были выполнены в ходе обучения в Яндекс.Практикуме по профессии "Специалист по Data Science"
Supa simple feed forward neural net with explanations to practice c++ :)
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