A repository hosting deep neural network architectures trained for text based tasks. These include seq2seq, classification, seq2vec, etc. The main purpose of this repository is to serve as a practitioner's guide to building an end-to-end industry grade deep learning model training pipeline.
Text based tasks are one of the most common tasks in the industry. These include tasks such as text classification, text generation, text summarization, etc. This is a great place for beginners to familiarize themselves with the deep learning model training pipeline. textai directory contains the code for the models, pipelines and scripts. This repository is a work in progress and will be updated regularly.
Contributions to this repository are very much welcomed! Since I'm a beginner myself, I'm sure there are many things that can be improved. Please refer to the CONTRIBUTING file for more details.
This repository is licensed under the MIT License. Please see the LICENSE file for more details.