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🦜🔗 Build context-aware reasoning applications
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
Hunt down social media accounts by username across social networks
Specify what you want it to build, the AI asks for clarification, and then builds it.
Developer-first error tracking and performance monitoring
A generative speech model for daily dialogue.
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
An easy and fast way to create a Python GUI 🐍
A supercharged Git/GitHub command line interface (CLI). An official integration for GitHub and GitHub Enterprise: https://github.com/works-with/category/desktop-tools
一个简单的本地网页界面，使用ChatTTS将文字合成为语音，同时支持对外提供API接口。A simple native web interface that uses ChatTTS to synthesize text into speech, along with support for external API interfaces.
gpt-4o for windows, macos and linux
[ICCV 2023] Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
ChatYuan: Large Language Model for Dialogue in Chinese and English
An implementation of chunked, compressed, N-dimensional arrays for Python.
something like visual-chatgpt, 文心一言的开源版
Manipulate JSON-like data with NumPy-like idioms.
科学上网🟢🟢科学上网🔴🔴科学上网🟡🟡科学上网
自动获取Trojan、vmess、vless、ss、SSR、openvpn，免费节点，订阅，科学上网，梯子
Sychronized, streaming Python dictionary that uses shared memory as a backend
High-performance and seamless sharing and modification of Python objects between processes, without the periodic overhead of serialization and deserialization. Provides fast inter-process communica…
WebMoney Merchant Interface support for Django.
Bytecode manipulation in runtime, true shared memory, async LMDB, async Tkinter, async wxPython, async PySide, async PyQt, async loop with almost preemptive multitasking within the single thread, t…
Batch convert v2ray (vmess, vless, trojan) to json+base64 and apply TLS Fragmentation values.