FastAPI是一个高性能的web框架，用于基于标准Python类型提示使用Python3.7+构建API。它帮助开发人员快速高效地构建应用程序。FastAPI构建在Starlette web服务器之上，包括使构建web应用程序更容易的功能。
FastAPI is a high-performing web framework for building APIs with Python 3.7+ based on standard Python type hints. It helps developers build applications quickly and efficiently. FastAPI is built on top of the Starlette web server and includes features that make building web applications easier. (2024-03-10, Jupyter Notebook, 0KB, 下载0次)
在cifar10上具有瓶颈剩余块的基于CNN的自动编码器。以后可以添加感知损失和/或尝试不同的损失函数，将使用L2作为默认值。
A CNN based autoencoder with Bottleneck Residual blocks on cifar10. May add perceptual loss and or try out different loss functions later, will use L2 as the default. (2024-01-05, Jupyter Notebook, 0KB, 下载0次)
使用pytho创建的深度学习棉花疾病预测器web应用程序的端到端实现和部署...
End-to-end implementation and deployment of Deep Learning Cotton Disease Predictor web application created using python, flask, gunicorn, scikit-Learn, Keras, TensorFlow, etc., and deployed on the Heroku web application platform. (2020-11-03, Jupyter Notebook, 234635KB, 下载0次)
使用卷积神经网络和Keras的预处理模型MobileNetV2的狗对猫分类器烧瓶应用程序。模式...
Dog vs Cat classifier Flask app using Convolutional Neural Network with pretrained model MobileNetV2 from Keras. Model has 98% accuracy on both train and validation sets. Heroku app at <https://dogvscat-mobilenet.herokuapp.com/> (2020-01-03, Jupyter Notebook, 28456KB, 下载0次)
python项目的集合，包括机器学习项目、图像和pdf处理、密码检查器、发送...
Collections of python projects including machine learning projects, image and pdf processing, password checkers, sending emails, sms, web scraping,flask web app,selenium automation testing,etc (2022-12-08, Jupyter Notebook, 27744KB, 下载0次)
猜测股票，股票价格预测器是一个建立在LSTM--RRN模型和Django上的系统。这个项目是为我的CSE2...
Guess-Stock, Stock Price predictor is a system built on LSTM--RRN model and Django. This Project was done for my CSE299 (Junior Design) at North South University (2021-05-23, Jupyter Notebook, 2661KB, 下载0次)