Awesome Bioie
Section: Other models · A language model available through the Flair framework and embedding method. Trained over a 5% sample of PubMed abstracts until 2015, or > 1.2 million abstracts in total.
ActiveScore 68
Entry
flair
Appears in 4 awesome lists
A language model available through the Flair framework and embedding method. Trained over a 5% sample of PubMed abstracts until 2015, or > 1.2 million abstracts in total.
Open github.comzalandoresearch/flair
Found in these lists
awesome-nlp
Section: Libraries · A very simple framework for state-of-the-art multilingual NLP built on PyTorch. Includes BERT, ELMo and Flair embeddings.
FreshScore 90
Awesome Python Data Science
Section: Natural Language Processing · Very simple framework for state-of-the-art NLP.
ActiveScore 71
Awesome-Pytorch-list
Section: NLP & Speech Processing: · A very simple framework for state-of-the-art Natural Language Processing (NLP)
FreshScore 88
Often listed next to it
transformers
(formerly known as pytorch-transformers and pytorch-pretrained-bert) provides state-of-the-art general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet, CTRL...) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in…
In 14 listsDetails
Haystack
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search,…
In 13 listsDetails
Awesome NLP with Ruby
A curated list of resources dedicated to Natural Language Processing and text processing for Ruby.
In 5 listsDetails
spaCy
Industrial-strength natural language processing with 75+ languages, transformer pipelines, and production-grade NER, parsing, and text classification.
In 7 listsDetails
tokenizers
Hugging Face's tokenizers for modern NLP pipelines (original implementation) with bindings for Python.
In 6 listsDetails
TextAttack
Python framework for adversarial attacks, data augmentation, and model training in NLP. Augment datasets to increase model robustness and generate adversarial examples. MIT licensed.
In 6 listsDetails