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. | ||||||||||
Deep Tutorials For Pytorch | 1,392 | 4 months ago | 1 | |||||||
In-depth tutorials for implementing deep learning models on your own with PyTorch. | ||||||||||
Bert Extractive Summarizer | 1,096 | 1 | 14 | a year ago | 24 | January 04, 2022 | 47 | mit | Python | |
Easy to use extractive text summarization with BERT | ||||||||||
Pointer_summarizer | 859 | a year ago | 25 | apache-2.0 | Python | |||||
pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks" | ||||||||||
Kenlg Reading | 393 | 2 years ago | ||||||||
Author: Wenhao Yu ([email protected]). ACM Computing Survey'22. Reading list for knowledge-enhanced text generation, with a survey. | ||||||||||
Pytorch Vsumm Reinforce | 342 | 2 years ago | 51 | mit | Python | |||||
Unsupervised video summarization with deep reinforcement learning. AAAI'18. | ||||||||||
Simplet5 | 305 | a year ago | 7 | February 15, 2022 | 31 | mit | Python | |||
simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models. | ||||||||||
How To Use Transformers | 271 | 4 months ago | 10 | apache-2.0 | Python | |||||
Transformers 库快速入门教程 | ||||||||||
Text2text | 268 | 3 months ago | 134 | October 21, 2023 | 27 | other | Python | |||
Text2Text: Crosslingual NLP/G toolkit | ||||||||||
Seq2seq Summarizer | 259 | 5 years ago | 10 | mit | Python | |||||
Pointer-generator reinforced seq2seq summarization in PyTorch |