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.
Revolutionize text summarization with this Transformer model, leveraging state-of-the-art techniques. Trained on news articles, it produces concise summaries effortlessly. Explore cutting-edge capabilities for your summarization needs.
Basic neural network in Python.
Deep Learning for file type Identification in Digital Forensics. We use the first, body, and last blocks of bytes on the disk to account for all possible scenarios and train the FFNN, CNN, GRU, and LSTM models. Afterward, we make predictions and evaluate the performance of each model.
A simple and fast feed forward neural network library.
A repository of assignments performed during the Advanced Machine Learning course.
Analyze the active regulatory region of DNA using FFNN and CNN
Consists of different types of machine learning models.
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 repository with Advanced Machine Learning Course Assignments (FFNN, AutoEncoders, CNN, TL, HPO)
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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