A curated list of resources for Document Understanding (DU) topic
Repository Index
47,133 repositories indexed
49–72 of 95 · Most stars
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
"結巴"中文分詞：做最好的 PHP 中文分詞、中文斷詞組件。 / "Jieba" (Chinese for "to stutter") Chinese text segmentation: built to be the best PHP Chinese word segmentation module.
The most accurate natural language detection library for Go, suitable for short text and mixed-language text
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
Neural question generation using transformers
Curated List: Practical Natural Language Processing done in Ruby
This Word Does Not Exist
Pretrained model hub for Keras 3.
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
An R package for the Quantitative Analysis of Textual Data
Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
🚀 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.
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).
Curated list of open-access/open-source/off-the-shelf resources and tools developed with a particular focus on German
RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
:grey_question: Visual Question Answering in Torch
CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.
Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang
🧫 A curated list of resources relevant to doing Biomedical Information Extraction (including BioNLP)
A curated list of resources for the conservation, development, and documentation of low resource (human) languages.
:hospital: Medical Text Mining and Information Extraction with spaCy
A dataset of millions of news articles scraped from a curated list of data sources.