659 Open source projects that are alternatives of or similar to Dont Stop Pretraining

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

Builds wordpiece(subword) vocabulary compatible for Google Research's BERT

Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)

DGMs for NLP. A roadmap.

NLP: Convert Japanese Kana-kanji sentences into Kana-Roman in simple algorithm.

A list of Indonesian NLP resources.

Interpretable data visualizations for understanding how texts differ at the word level

Collection of software components for natural language processing (NLP) based on the Apache UIMA framework.

🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

Knowledge-Aware Graph Networks for Commonsense Reasoning (EMNLP-IJCNLP 19)

a sklearn wrapper for Google's BERT model

QRNN implementation for TensorFlow

A dialogue bot for information access

[ACL 2020] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.

Accelerated deep learning R&D

Cookiecutter API for creating Custom Skills for Azure Search using Python and Docker

PyTorch implementation of beam search decoding for seq2seq models

Entity linking framework

KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)

R package providing annotators and a normalized data model for natural language processing

THE String Processing Package for R (with ICU)

Julia Implementation of Transformer models

Machine Learning notebooks for refreshing concepts.

Attention-based multimodal fusion for sentiment analysis

A PyTorch implementation of GraphRel

State of the Art Natural Language Processing

Jack the Reader

A privacy preserving NLP framework

NLP made easy

Vietnamese NLP Toolkit for Node

Code and source for paper ``How to Fine-Tune BERT for Text Classification?``

Collection of stats, modeling, and data science tools in Python and R.

CLaF: Open-Source Clova Language Framework

Data and software for building the ACL Anthology.

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

⚡️A Lightweight NLP Data Loader for All Deep Learning Frameworks in Python

Neural Models for Conversational AI

🐍 Turkish Language Stemmer for Python

AI 算法岗简历模板

A news recommendation system tailored for user communities

The Natural Language Decathlon: A Multitask Challenge for NLP

Library to scrape and clean web pages to create massive datasets.

A Span-Extraction Dataset for Chinese Machine Reading Comprehension (CMRC 2018)

Browse Covid-19 & SARS-CoV-2 Scientific Papers with Transformers 🦠 📖

Tool for interactive embeddings visualization

A Curated List of Dataset and Usable Library Resources for NLP in Bahasa Indonesia

A Knowledge Base for the FB Group Artificial Intelligence and Deep Learning (AIDL)

Basic Utilities for PyTorch Natural Language Processing (NLP)

💥 displaCy-ent.js: An open-source named entity visualiser for the modern web

Mishkal is an arabic text vocalization software

🍳 Recipes for the Prodigy, our fully scriptable annotation tool

Sentiment analysis library for russian language

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)

Summarization Papers

Natural Language Toolkit for bahasa Malaysia, https://malaya.readthedocs.io/

ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks

The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets