Automatic speech recognition system using end-to-end approach for Russian speech

Playground for implementing custom layers and other components compatible with keras, with the purpose to learn the framework better and perhaps in future offer some utils for others.

The second assignment of ADLxMLDS course, NTU

NMT model to convert human readable dates to machine readable dates

[Python 3] Tensorflow implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention"

Implementation of the basic transformer head for multiple-instance-regression (MIR)

Neural Machine Translation (NMT) from Spanish to English. Architecture is Seq2Seq + Multiplicative Attention + Character-level conditional English (target) language model.

Train a Long short term memory network to translate German text to English

This course examines the theoretical and applied problems of constructing and modelling systems, which aim to extract and represent the meaning of natural language sentences or of whole discourses, but drawing on contributions from the fields of linguistics, cognitive psychology, artificial intelligence and computing science.

这是基于pytorch实现的Transformer模型，用于更好的理解Transformer模型。

Neural Machine Translation with Attention - Keras and TensorFlow 1.X

Dive Into Deep Learning 的学习代码以及笔记，在这里我还自己增加了一些学到的东西，具体的内容可以在目录中看到

Comparission of synthesizer versus vanilla minGPT transformer on Question answering task

Generating captions for pictures using Attention Network

Private cloud native security observability platform. Linux, K8s, AWS Fargate and more Computing.

Bidirectional LSTM used with attention layers to translate german sentences to english sentences

PyTorch implementation of Vision Transformer paper: https://arxiv.org/abs/2010.11929

This repository contains the code for a Multi Scale attention based module that was built and tested on a data set containing Concrete crack images. It was later tested with other data sets as well. Provided a better accuracy compared to the standard approach.

My attempt at building a deep learning-based system for generating descriptive captions for images.