Repository History
351 repositories tagged with Python
Sniffly: Claude Code Analytics Dashboard for Usage and Error Analysis
Sniffly is an open-source Python project that provides a comprehensive dashboard for analyzing Claude Code logs. It helps users understand their usage patterns, identify common errors, and review message history to improve their interaction with Claude Code. The tool runs locally, ensuring privacy, and offers a unique feature for sharing project statistics.
Meta-GraphQL-Beautifier: Enhance Burp Suite for GraphQL Requests
Meta-GraphQL-Beautifier is a Burp Suite extension designed to improve the readability and analysis of Meta GraphQL requests. It provides beautification and highlighting features, making it easier for security professionals to work with complex GraphQL traffic. This tool streamlines the process of identifying and understanding potential vulnerabilities within GraphQL endpoints.
POX: A Python-Based Platform for Software-Defined Networking
POX is a versatile networking software platform written in Python, initially designed as an OpenFlow controller. It can also function as an OpenFlow switch and is useful for developing general networking software. Supporting OpenFlow 1.0 and various operating systems, POX provides a flexible environment for network experimentation and development.
Qwen-Agent: A Comprehensive Framework for LLM Applications and Agent Development
Qwen-Agent is a powerful framework designed for developing advanced Large Language Model (LLM) applications, built upon Qwen models. It offers robust capabilities including function calling, a code interpreter, RAG, and multi-context protocol (MCP) support. The framework enables developers to create sophisticated AI agents with planning, tool usage, and memory features, serving as the backend for applications like Qwen Chat.
TRELLIS: Structured 3D Latents for Scalable and Versatile 3D Generation
TRELLIS is the official repository for a CVPR'25 Spotlight paper on "Structured 3D Latents for Scalable and Versatile 3D Generation." This Microsoft project introduces a powerful model for generating high-quality 3D assets from text or image prompts. It supports diverse output formats like Radiance Fields, 3D Gaussians, and meshes, offering flexible editing capabilities.
Jieba: The Leading Python Library for Chinese Text Segmentation
Jieba is a highly popular and efficient Python library designed for Chinese text segmentation. It offers various cutting modes, including accurate, full, and search engine modes, making it versatile for different NLP tasks. With features like custom dictionaries and part-of-speech tagging, Jieba provides a comprehensive solution for processing Chinese text.
Magentic-UI: A Human-Centered AI Agent for Web Automation
Magentic-UI is a research prototype from Microsoft that introduces a human-centered AI agent designed to automate complex web and coding tasks. Unlike black-box agents, it prioritizes transparency and user control, revealing its plans, allowing guidance, and seeking approval for sensitive operations. This innovative system empowers users to automate workflows while maintaining oversight and intervention capabilities.
AudioSep: Foundation Model for Open-Domain Sound Separation with Language Queries
AudioSep is a groundbreaking foundation model for open-domain sound separation, allowing users to isolate specific sounds using natural language descriptions. It demonstrates strong performance and impressive zero-shot generalization across various tasks, including audio event, musical instrument, and speech separation. This powerful tool simplifies complex audio processing with intuitive text-based queries.
RedditVideoMakerBot: Automate Viral Reddit Video Creation with Python
RedditVideoMakerBot is a Python project that automates the creation of viral Reddit videos, similar to those found on TikTok and YouTube. It simplifies the process of gathering content and editing, allowing users to generate videos with a single command. This bot is ideal for content creators looking to streamline their workflow and produce engaging content efficiently.
JAX: Composable Transformations for Python+NumPy Programs
JAX is a powerful Python library designed for high-performance numerical computing and large-scale machine learning. It offers composable function transformations like automatic differentiation, JIT compilation to accelerators (GPU/TPU), and auto-vectorization. This powerful combination allows developers to write flexible and efficient numerical programs.
Translation Agent: Agentic Translation with LLM Reflection Workflow
Translation Agent is a Python demonstration of an agentic workflow for machine translation, leveraging large language models (LLMs) and a reflection process. This innovative approach aims to improve translation quality by having the LLM translate, reflect on its output, and then refine the translation based on its own suggestions. It offers significant customizability for style, idioms, and regional language variations, making it a promising direction for future translation technologies.
index-tts-lora: High-Quality Speech Synthesis with LoRA Fine-tuning
index-tts-lora offers a robust solution for high-quality speech synthesis, leveraging LoRA fine-tuning on the index-tts framework. It significantly enhances prosody and naturalness for both single and multi-speaker voices. This project provides practical methods for training and inference, making advanced voice synthesis more accessible.