CnOCR: Awesome Chinese/English OCR Python toolkits based on PyTorch. It comes with 20+ well-trained models for different application scenarios and can be used directly after installation. 【基于 PyTor…

CnOCR 是 Python 3 下的文字识别（Optical Character Recognition，简称OCR）工具包，支持简体中文、繁体中文（部分模型）、英文和数字的常见字符识别，支持竖排文字的识别。自带了20+个训练好的识别模型，适用于不同应用场景，安装后即可直接使用。同时，CnOCR也提供简单的训练命令供使用者训练自己的模型。

超轻量级中文ocr，支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M

Convert ONNX models to PyTorch.

ACM Multimedia 2023: DocDiff: Document Enhancement via Residual Diffusion Models. Also contains 1597 red seals in Chinese scenes, along with their corresponding binary masks.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

an easy-to-use dynamic service discovery, configuration and service management platform for building cloud native applications.

transformers ocr for chinese

轻量模型的图像分析web服务，包括倾斜矫正OCR，公章(印章)检测+识别，车牌识别。api方案使用FastAPI+Gunicorn，提供gradio展示。

基于transformer的ocr识别，在公章(印章识别, seal recognition）拓展应用

The simplest, fastest way to get business intelligence and analytics to everyone in your company 😋

Apache Superset is a Data Visualization and Data Exploration Platform

🔥 人人可用的开源 BI 工具，Tableau、帆软的开源替代。

👑 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…

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

A collection of original, innovative ideas and algorithms towards Advanced Literate Machinery. This project is maintained by the OCR Team in the Language Technology Lab, Tongyi Lab, Alibaba Group.

This is a Pytorch Implementation of the DASP algorithm from the paper "Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Value Approximation"

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CNN,LSTM and RNN

A simple genetic training algorithm for recurrent neural networks

vue+d3v6实现动态知识图谱可视化展示（包含2D和3D图谱展示）

Use deep learning, genetic programming and other methods to predict stock and market movements

互联网首份程序员考公指南，由3位已经进入体制内的前大厂程序员联合献上。

Financial Big Data and Quantitative Analytics, Spring 2021.

深圳清华大学研究生院2020量化投资学习项目

Genetic Programming in Python, with a scikit-learn inspired API

改进gplearn,主要使用在股票公式挖掘

Datasets, papers and books on AI & Finance.

My portfolio website simulating macOS's GUI, developed with React and UnoCSS.

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