| naptha/tesseract.js |
32,523 |
|
221 |
224 |
about 2 years ago |
66 |
October 30, 2023 |
19 |
apache-2.0 |
JavaScript |
| Pure Javascript OCR for more than 100 Languages 📖🎉🖥 |
| JaidedAI/EasyOCR |
20,438 |
|
0 |
69 |
over 2 years 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. |
| PaddlePaddle/PaddleHub |
12,193 |
|
0 |
6 |
over 2 years ago |
50 |
September 20, 2023 |
575 |
apache-2.0 |
Python |
| Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving) |
| lukas-blecher/LaTeX-OCR |
8,088 |
|
0 |
0 |
over 2 years ago |
31 |
May 20, 2022 |
93 |
mit |
Python |
| pix2tex: Using a ViT to convert images of equations into LaTeX code. |
| tangyudi/Ai-Learn |
7,757 |
|
0 |
0 |
over 2 years ago |
0 |
|
20 |
|
|
| 人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域 |
| Swift-AI/Swift-AI |
5,989 |
|
0 |
0 |
almost 9 years ago |
0 |
|
7 |
mit |
Swift |
| The Swift machine learning library. |
| Unstructured-IO/unstructured |
4,404 |
|
0 |
65 |
about 2 years 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. |
| YaoFANGUK/video-subtitle-extractor |
4,267 |
|
0 |
0 |
about 2 years ago |
0 |
|
131 |
apache-2.0 |
Python |
| 视频硬字幕提取，生成srt文件。无需申请第三方API，本地实现文本识别。基于深度学习的视频字幕提取框架，包含字幕区域检测、字幕内容提取。A GUI tool for extracting hard-coded subtitle (hardsub) from videos and generating srt files. |
| Tencent/TNN |
4,210 |
|
0 |
0 |
about 2 years ago |
0 |
|
298 |
other |
C++ |
| TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework. |
| Layout-Parser/layout-parser |
4,107 |
|
0 |
4 |
over 2 years ago |
11 |
April 06, 2022 |
100 |
apache-2.0 |
Python |
| A Unified Toolkit for Deep Learning Based Document Image Analysis |
