| tesseract-ocr/tesseract |
56,096 |
|
0 |
7 |
about 2 years ago |
1 |
February 27, 2018 |
415 |
apache-2.0 |
C++ |
| Tesseract Open Source OCR Engine (main repository) |
| 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. |
| 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. |
| jonaswinkler/paperless-ng |
5,371 |
|
0 |
0 |
about 3 years ago |
0 |
|
254 |
gpl-3.0 |
Python |
| A supercharged version of paperless: scan, index and archive all your physical documents |
| 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. |
| githubharald/SimpleHTR |
1,719 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
Python |
| Handwritten Text Recognition (HTR) system implemented with TensorFlow. |
| bgshih/crnn |
1,670 |
|
0 |
0 |
about 7 years ago |
0 |
|
85 |
mit |
Lua |
| Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition. |
| emedvedev/attention-ocr |
957 |
|
0 |
0 |
over 2 years ago |
21 |
April 19, 2019 |
26 |
mit |
Python |
| A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine. |
