🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry.

PhoBERT: Pre-trained language models for Vietnamese

An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

This repository contains landmark research papers in Natural Language Processing that came out in this century.

Generate realistic Instagram captions using transformers 🤗

🤗 ParsBERT: Transformer-based Model for Persian Language Understanding

Keras implementations of three language models: character-level RNN, word-level RNN and Sentence VAE (Bowman, Vilnis et al 2016).

A collection of resources on using BERT (https://arxiv.org/abs/1810.04805 ) and related Language Models in production environments.

Smart Language Model

Deep-learning Transfer Learning models of NTUA-SLP team submitted at the IEST of WASSA 2018 at EMNLP 2018.

Must-read papers on Natural Language Processing (NLP)

Course on Language Technologies and NLP

🦜 NLP for Tibetan, in Python.

Train the Bi-LM model and use it as a feature extraction method

Recurrent neural network implementations for protein secondary structure prediction and language models

UNB Fall-2018 NLP Assignments 💬

The iltalk-protobuf (InterLingual-Talk) plugin performs the interlingual bidirectional procedural calls which are unlimited in depth (reentrant) and also are unlimited in the choice of a language pair. The language pair must support the Google Protobuf technique and its extensions. The default pair is Java/Logtalk.

Dissecting Transformers via attention visualization

🌍📖💬 Sentiment analysis and text generation using BERT and ULMFiT (2018)

Proof of concept of an 'a priori' approach to error prediction

The course notes about Stanford CS224n Natural Language Processing with Deep Learning Winter 2019 (using PyTorch)

Implementation of Character Aware Neural Language Models

This repository is an effort to showcase different text classification approaches on a consumer complaints dataset.

Language Modeling

Children's story generator using DNN transfer learning

This repository contains notebooks on different topics across - linear algebra, image classification, language models etc.

NLP course - language models - word tokenization - Leventsheim distance - Naive Bayes example

Using a combination of language models and web scraping for a robust named entity normalization engine to create a hierarchical graph data-structure.