This is my Machine learning library in C
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Updated
Aug 20, 2024 - C
This is my Machine learning library in C
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.
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.
Classification of acronyms and their long forms using an RNN (LSTM), CNN, and FFNN model. The experiments focused on the RNN and used different vectorisation methods and hyperparameters. Models were built with Keras and the notebook code runs on Google Colab.
Web UI for the data behind PicPic, an automatic image selection tool for news articles
A quick implementation of Fast Feed Neural Network that support reading JSON input and visualize the network in an image
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.
This repository includes an implementation of a neural sequence model, such as FFNN or LSTM, designed to tag words in sentences with the correct part-of-speech (POS) tags.
Optimizing customer retention with FFNN-based churn prediction model
Basic neural network in Python.
Project demonstrating how to build a simple Feed Forward Neural Network using australian weather data for a binary prediction. Activator functions and Optimizer functions coded for didactic purposes
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++ :)
Code developed for the tasks associated with Neural and Complex Networks subject at UNED
Benchmark for testing FeedForward Neural Networks with TensorFlow
Neural Arabic text diacritization
Action recognition using LSTM
Early mouse gesture recognition experiments / Delphi
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