Multilingual Automatic Speech Recognition with word-level timestamps and confidence
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Updated
Apr 22, 2024 - Python
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
A T5-based Seq2Seq Model that Generates Titles for Machine Learning Papers using the Abstract
Used Tensorflow and Keras Framework
Generating short length description of news articles
Seq2Seq model that restores punctuation on English input text.
Text Summarization using Abstractive text summarization
Attention-based end-to-end ASR on TIMIT in PyTorch
A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need
Neural Machine Translation with Keras
Three different implementations for neural machine translation
English-Hindi translation with attention. WIP
Image to LaTeX (Seq2seq + Attention with Beam Search) - Tensorflow
Generates summary of a given news article. Used attention seq2seq encoder decoder model.
Analysis of 'Attention is not Explanation' performed for the University of Amsterdam's Fairness, Accountability, Confidentiality and Transparency in AI Course Assignment, January 2020
Text Summarizer implemented in PyTorch
A simple attention deep learning model to answer questions about a given video with the most relevant video intervals as answers.
Tensorflow2.0 implementation of neural machine translation with Bahdanau attention
Convolution Sequence to Sequence models for Hand Written Text Recognition
An Image Caption Generation based search
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