Curated implementation notebooks and scripts of deep learning based natural language processing tasks and challenges in TensorFlow.
-
Updated
Apr 24, 2020 - Jupyter Notebook
Curated implementation notebooks and scripts of deep learning based natural language processing tasks and challenges in TensorFlow.
Machine translation is a popular topic in research with new papers coming out every year. Over the years of research, different methods were created, like rule-based, statistical, and example-based machine translation. With all this effort, it’s still an unsolved problem. However, neural networks have made a large leap forward in machine transla…
A set of notebooks that explores the power of Recurrent Neural Networks (RNNs), with a focus on LSTM, BiLSTM, seq2seq, and Attention.
Contains different course tutorials and jupyter notebook file for applying different Deep Learning models in different NLP tasks such as text classification, summarization, translation, etc.
This repo contains training notebook and TFLite conversion notebook of the Neural machine translation model developed using TensorFlow.
Tensorflow, Pytorch, Huggingface Transformer, Fastai, etc. tutorial Colab Notebooks.
Word Alignment Visualization is a Python package for visualizing word alignments between two sentences in a Jupyter notebook. The package provides an interactive widget that displays original and translated sentences with word alignment lines.
Natural Language Processing
✔ Natural Language Processing Notebooks in PyTorch. A series of NLP applications using torch.
Add a description, image, and links to the machine-translation topic page so that developers can more easily learn about it.
To associate your repository with the machine-translation topic, visit your repo's landing page and select "manage topics."