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Visualization of all roads within any city
(SIGGRAPH Asia 2024) This is the official PyTorch implementation of SIGGRAPH Asia 2024 paper: DrawingSpinUp: 3D Animation from Single Character Drawings
🍺 Scaffolding your Chrome extension! Boilerplates: react \ vue \ svelte \ solid \ preact \ alpine \ lit \ stencil \ inferno \ vanilla
Restoration for TEMPEST images using deep-learning
🖥 Control your display's brightness & volume on your Mac as if it was a native Apple Display. Use Apple Keyboard keys or custom shortcuts. Shows the native macOS OSDs.
Convert images of LaTex math equations into LaTex code.
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
Awesome-data shows most interesting data-source around the financial world!
VLC extension to store Bookmarks permanently
Portfolio analytics for quants, written in Python
Performance analysis of predictive (alpha) stock factors
stable diffusion webui colab
Overview and tutorial of the LangChain Library
Jupyter code notebooks of "ChatGPT Prompt Engineering for Developers" by DeepLearning.AI and OpenAI.
TruthfulQA: Measuring How Models Imitate Human Falsehoods
Examples and guides for using the OpenAI API
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…
Instruction Tuning with GPT-4
URDF model for the Rhea wheeled biped
Aligning pretrained language models with instruction data generated by themselves.
Integrating ChatGPT into your browser deeply, everything you need is here
The simplest way to run LLaMA on your local machine
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
bloop is a fast code search engine written in Rust.
Agentic is RapidAPI for LLM Tools. Your API ⇒ Paid MCP. Instantly.
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media