| PaddlePaddle/PaddleNLP |
10,908 |
|
0 |
19 |
about 2 years ago |
87 |
September 14, 2023 |
891 |
apache-2.0 |
Python |
| 👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc. |
| neuml/txtai |
6,143 |
|
0 |
9 |
about 2 years ago |
35 |
November 08, 2023 |
16 |
apache-2.0 |
Python |
| 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows |
| marqo-ai/marqo |
3,893 |
|
0 |
0 |
about 2 years ago |
11 |
November 17, 2022 |
144 |
apache-2.0 |
Python |
| Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai |
| ChenglongChen/kaggle-CrowdFlower |
1,752 |
|
0 |
0 |
over 4 years ago |
0 |
|
1 |
|
C++ |
| 1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle. |
| frutik/awesome-search |
1,158 |
|
0 |
0 |
over 2 years ago |
0 |
|
9 |
|
HTML |
| Awesome Search - this is all about the (e-commerce, but not only) search and its awesomeness |
| gnes-ai/gnes |
1,095 |
|
0 |
0 |
over 6 years ago |
0 |
|
16 |
other |
Python |
| GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network. |
| meta-toolkit/meta |
660 |
|
0 |
0 |
almost 3 years ago |
0 |
|
54 |
mit |
C++ |
| A Modern C++ Data Sciences Toolkit |
| Hironsan/bertsearch |
620 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
mit |
Python |
| Elasticsearch with BERT for advanced document search. |
| shibing624/similarities |
495 |
|
0 |
1 |
over 2 years ago |
18 |
November 15, 2023 |
1 |
apache-2.0 |
Python |
| Similarities: a toolkit for similarity calculation and semantic search. 相似度计算、匹配搜索工具包，支持亿级数据文搜文、文搜图、图搜图，python3开发，开箱即用。 |
| ChenglongChen/kaggle-HomeDepot |
465 |
|
0 |
0 |
over 7 years ago |
0 |
|
|
mit |
Python |
| 3rd Place Solution for HomeDepot Product Search Results Relevance Competition on Kaggle. |
