Showing 16 of 16 projects
Fast, state-of-the-art tokenizers for training and tokenization, optimized for both research and production.
A Rust-native port of Hugging Face Transformers providing ready-to-use NLP pipelines and transformer models like BERT, GPT2, and T5.
A modular toolkit for machine learning, natural language processing, and text generation with TensorFlow and PyTorch versions.
A BERT language model pre-trained on a large corpus of scientific papers for natural language processing tasks in scientific domains.
Embeddable message protocol loop library for WebSocket, HTTP, MQTT, and TCP servers with unified API.
A curated list of recent research papers and resources on Vision and Language Pre-trained Models (VL-PTMs).
A transfer learning-based evaluation metric for Natural Language Generation that scores text fluency and meaning.
A curated list of resources for Question Answering (QA), covering machine learning, deep learning, datasets, and research.
Pre-trained biomedical language representation model for biomedical text mining tasks like named entity recognition and relation extraction.
A BERT model pre-trained on PubMed abstracts and clinical notes for biomedical natural language processing tasks.
A collection of BERT-like transformer models pre-trained on chemical SMILES data for drug design and property prediction.
A BERT-based language model pretrained on clinical notes for predicting hospital readmissions and analyzing medical text.
A pure Go package for running inference with pre-trained Transformer models from Hugging Face, enabling NLP tasks without external languages.
A Python library that simplifies using, finetuning, and deploying state-of-the-art machine learning models for various AI tasks.
A curated collection of open-source libraries, models, datasets, and tools for Natural Language Processing (NLP) in Norwegian.
A collection of pre-trained BERT, DistilBERT, ELECTRA, GPT-2, and ConvBERT models for multiple languages, including German, Italian, Turkish, and historic texts.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.