Popular GitHub Repositories for Cors Request

[Support 0.47.3]（Reset Cursor AI MachineID & Auto Sign Up / In）自动注册 Cursor Ai ，自动重置机器ID ， 免费升级使用Pro功能: You've reached your trial request limit. / Too many free trial accounts used on this machine. Please upgrade to pro. We have this limit in place to prevent abuse. Please let us know if you believe this is a mistake.

☔ 敏捷开发最强大易用的接口工具，机器学习零代码测试与 AI 问答、生成代码与静态检查、生成文档与光标悬浮注释，腾讯、华为、SHEIN、传音、工行等使用 ☔ The most advanced tool for HTTP API. Machine learning no-code testing and AI assistant, generating codes and static analysis, generating comments and floating hints. Used by Tencent, Huawei, SHEIN, TRANSSION, ICBC, etc.

AI-based Pull Request Summarizer and Reviewer with Chat Capabilities.

Specify a github or local repo, github pull request, arXiv or Sci-Hub paper, Youtube transcript or documentation URL on the web and scrape into a text file and clipboard for easier LLM ingestion

A Cloudflare worker script to proxy OpenAI‘s request to Azure OpenAI Service

Review-Gate V2 is a powerful rule for the Cursor IDE that helps you get up to 5x more value from your monthly requests. It creates an interactive loop where the AI waits for your follow-up commands—via text, voice, or image upload—allowing you to perform deep, iterative work all within a single request.

Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request.

ChatGPT PROMPTs Splitter. Tool for safely process chunks of up to 15,000 characters per request

Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

[AI Auto Free]（Reset Cursor AI MachineID & Bypass Higher Token Limit） Cursor Ai, Windsurf Ai ，自动重置机器ID ， 免费升级使用Pro功能: You've reached your trial request limit. / Too many free trial accounts used on this machine. Please upgrade to pro.

? Codeball – AI Code Review that finds bugs and fast-tracks your code

Fingerprint-aware TLS reverse proxy: allow, deny, route, or deceive traffic using JA3, JA4 (+QUIC), JA4H, HTTP/2 fingerprints, and request metadata. Finch outsmarts bad traffic—blocking noise with high-fidelity fingerprints, tarpitting scanners, and dynamically deceiving attackers in real time.

Open-WebUI-Functions is a collection of custom pipelines, filters, and integrations designed to enhance Open WebUI. These functions enable seamless interactions with Azure AI, N8N, and other AI models, providing dynamic request handling, preprocessing, and automation.

Code review assistant powered by LLM

WEFE: The Word Embeddings Fairness Evaluation Framework. WEFE is a framework that standardizes the bias measurement and mitigation in Word Embeddings models. Please feel welcome to open an issue in case you have any questions or a pull request if you want to contribute to the project!

Reset Cursor MachineID & Auto Sign Up New Account with Cursor Pro // 自动注册 Cursor AI (免费使用Pro功能) & 自动重置机器ID // You've reached your trial request limit. / Too many free trial accounts used on this machine. Please upgrade to pro. We have this limit in place to prevent abuse. Please let us know if you believe this is a mistake.

This is a code repository initially for Azure OpenAI In a Day workshop. We wanted to share this code with everyone in order to build better AI solutions using Azure OpenAI services. This repository is maintained by community volunteers. If you would like to contribute, please feel free to create a pull request. Thank you all for your contribution.

an open source fullstack chat agent with authentication, request credits and payments built in

C2S Agent is an lightweight AI Agent construction platform that provides configurable online Agents and MCP services, You can configure any HTTP request interface as an MCP tool. C2S Agent 是一个轻量级的AI Agent构建平台，提供在线可配置的Agent，MCP，您可以一个HTTP请求的接口配置成为一个MCP工具，Agent之间可以进行自交流。并提供了单端口多A2A服务，MCP服务的解决方案

Kafka Streams + Java + gRPC + TensorFlow Serving => Stream Processing combined with RPC / Request-Response