Data augmentation for NLP, presented at EMNLP 2019

Easily fine tune GPT-2 to fill in missing text

Email Smart Compose: Assist in Sentence Completion

📰 Implementation for MSCC (Microsoft sentence completion challenge), in Tensorflow 1.0

A pytorch implementation of the word-level recurrent neural network for sentence completion

Genessay is a content generation system where the user can enter incomplete sentences and phrases and the system will generate the content according to the input

MSR sentence completion challenge implementation (RNNLM, LSA total similarity, word2vec total similarity) in Python

Super easy library for BERT based NLP models

A learning rate range test implementation in PyTorch

A comprehensive guide for learning regular expressions using Python

A collection of common regular expressions bundled with an easy to use interface.

Build Low Code Automated Tensorflow explainable models in just 3 lines of code. Library created by: Hasan Rafiq - https://www.linkedin.com/in/sam04/

⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.