naiveHobo/InvoiceNet
Deep neural network to extract intelligent information from invoice documents.
Advanced document extraction and chunking techniques for retrieval augmented generation that is aware of the layout of documents. Increases knowledge retrieval accuracy and provides control for retrieved knowledge context management
$ git clone https://github.com/aws-samples/layout-aware-document-processing-and-retrieval-augmented-generation.gitDeep neural network to extract intelligent information from invoice documents.
word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding
My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
Hypergraph is more powerful. Transform unstructured text into structured knowledge with LLMs. Graphs, hypergraphs, and spatio-temporal extractions โ with one command.
Data from GitHub ยท snapshot Sep 24, 2026