| deepset-ai/haystack |
12,474 |
|
0 |
30 |
about 2 years 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. |
| sgrvinod/Deep-Tutorials-for-PyTorch |
1,392 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
|
|
| In-depth tutorials for implementing deep learning models on your own with PyTorch. |
| dmmiller612/bert-extractive-summarizer |
1,096 |
|
1 |
14 |
over 3 years ago |
24 |
January 04, 2022 |
47 |
mit |
Python |
| Easy to use extractive text summarization with BERT |
| atulkum/pointer_summarizer |
859 |
|
0 |
0 |
about 3 years ago |
0 |
|
25 |
apache-2.0 |
Python |
| pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks" |
| wyu97/KENLG-Reading |
393 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
|
|
| Author: Wenhao Yu (wyu1@nd.edu). ACM Computing Survey'22. Reading list for knowledge-enhanced text generation, with a survey. |
| KaiyangZhou/pytorch-vsumm-reinforce |
342 |
|
0 |
0 |
over 4 years ago |
0 |
|
51 |
mit |
Python |
| Unsupervised video summarization with deep reinforcement learning. AAAI'18. |
| Shivanandroy/simpleT5 |
305 |
|
0 |
0 |
almost 3 years 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. |
| jsksxs360/How-to-use-Transformers |
271 |
|
0 |
0 |
over 2 years ago |
0 |
|
10 |
apache-2.0 |
Python |
| Transformers 库快速入门教程 |
| artitw/text2text |
268 |
|
0 |
0 |
about 2 years ago |
134 |
October 21, 2023 |
27 |
other |
Python |
| Text2Text: Crosslingual NLP/G toolkit |
| ymfa/seq2seq-summarizer |
259 |
|
0 |
0 |
almost 7 years ago |
0 |
|
10 |
mit |
Python |
| Pointer-generator reinforced seq2seq summarization in PyTorch |
