Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Easyocr | 20,438 | 69 | 4 months ago | 32 | September 04, 2023 | 340 | apache-2.0 | Python | ||
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc. | ||||||||||
Unstructured | 4,404 | 65 | 3 months ago | 114 | November 30, 2023 | 204 | apache-2.0 | HTML | ||
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines. | ||||||||||
Marqo | 3,893 | 3 months ago | 11 | November 17, 2022 | 144 | apache-2.0 | Python | |||
Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai | ||||||||||
Catalyst | 3,151 | 19 | 19 | 10 months ago | 108 | April 29, 2022 | 6 | apache-2.0 | Python | |
Accelerated deep learning R&D | ||||||||||
Ranking | 2,666 | 1 | 12 | 7 months ago | 22 | August 11, 2023 | 83 | apache-2.0 | Python | |
Learning to Rank in TensorFlow | ||||||||||
Invoicenet | 2,297 | 5 months ago | 62 | mit | Python | |||||
Deep neural network to extract intelligent information from invoice documents. | ||||||||||
Beir | 1,370 | 8 | a month ago | 29 | July 21, 2023 | 57 | apache-2.0 | Python | ||
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets. | ||||||||||
Awesome Fl | 1,103 | 3 months ago | cc-by-sa-4.0 | Python | ||||||
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops) | ||||||||||
Awesome Neural Models For Semantic Match | 763 | 5 months ago | 5 | mit | HTML | |||||
A curated list of papers dedicated to neural text (semantic) matching. | ||||||||||
Allrank | 722 | 7 months ago | 7 | May 17, 2021 | 15 | apache-2.0 | Python | |||
allRank is a framework for training learning-to-rank neural models based on PyTorch. |