Popular GitHub Repositories for Flask Webapp

? Yao is an all-in-one application engine that enables developers to create web apps, REST APIs, business applications, and more, with AI as a development partner.

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Transcribe any audio to text, translate and edit subtitles 100% locally with a web UI. Powered by whisper models!

A Burp Suite extension that integrates OpenAI's GPT to perform an additional passive scan for discovering highly bespoke vulnerabilities and enables running traffic-based analysis of any type.

基于大模型 RAG 知识库的知识图谱问答系统。Llamaindex + VueJS + Flask + Neo4j。大模型适配 OpenAI、国内主流大模型平台的模型调用、本地 vllm 部署。支持推理模型DeepSeek-R1、联网检索。

A tool to modify ONNX models in a visualization fashion, based on Netron and Flask.

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

Build AI WhatsApp Bots with Pure Python

A crowdsourced distributed cluster for AI art and text generation

:smiley_cat: Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.

Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.

免费，可商用，Java AI 人工智能一站式解决方案，为工作减负，为产品研发加速。项目类别包括：Java版 Pytorch 训练引擎，AI SDK，web应用等在内，合计超过100个项目组成的项目集。| Artificial Intelligence Accelerator Kit. It provides: a project collection consisting of over 100 projects, including AI SDK, web applications, desktop applications, image generation,

Chat and Ask on your own data. Accelerator to quickly upload your own enterprise data and use OpenAI services to chat to that uploaded data and ask questions

PyTriton is a Flask/FastAPI-like interface that simplifies Triton's deployment in Python environments.

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

ENFUGUE is an open-source web app for making studio-grade images and video using generative AI.

Python API to develop chatbot on Facebook Messenger Platform

CNN在线识别手写中文。