Summarizepaper
An AI-powered arXiv paper summarization website with a virtual assistant for answering questions.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Haystack | 12,474 |  | 30 | 3 months ago | 100 | November 09, 2023 | 346 | apache-2.0 | Python | |
| :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots. | ||||||||||
| Fastrag | 591 | 4 months ago | 1 | apache-2.0 | Python | |||||
| Efficient Retrieval Augmentation and Generation Framework | ||||||||||
| Text2text | 268 | 4 months ago | 134 | October 21, 2023 | 27 | other | Python | |||
| Text2Text: Crosslingual NLP/G toolkit | ||||||||||
| Cybertron | 235 | 2 | 4 months ago | 5 | November 08, 2023 | 21 | bsd-2-clause | Go | ||
| Cybertron: the home planet of the Transformers in Go | ||||||||||
| Hfapigo | 44 | 4 months ago | 2 | mit | Go | |||||
| Unofficial (Golang) Go bindings for the Hugging Face Inference API | ||||||||||
| Turkish Bert Nlp Pipeline | 44 | 4 years ago | Jupyter Notebook | |||||||
| Bert-base NLP pipeline for Turkish, Ner, Sentiment Analysis, Question Answering etc. | ||||||||||
| Targetedsummarization | 39 | a year ago | mit | Python | ||||||
| TextReducer - A Tool for Summarization and Information Extraction | ||||||||||
| Summarizepaper | 38 | a year ago | Python | |||||||
| An AI-powered arXiv paper summarization website with a virtual assistant for answering questions. | ||||||||||
| Hf Experiments | 37 | 2 years ago | mit | Python | ||||||
| Experiments with Hugging Face 🔬 🤗 | ||||||||||
| Mvp | 32 | 2 years ago | 2 | apache-2.0 | ||||||
| This repository is the official implementation of our paper MVP: Multi-task Supervised Pre-training for Natural Language Generation. | ||||||||||
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