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A book for Learning the Foundations of LLMs
Provides a ready-to-go Baikal server, incl. docker-compose.yml & Systemd service file
Docker image for Radicale calendar and contact server 📆 + security 🔐 + addons 🚀
📡️ vCards 中国黄页 - 优化 iOS/Android 来电、信息界面体验
The App Store for your multi-account eco system.
An extremely fast Python package and project manager, written in Rust.
Share a single keyboard and mouse between multiple computers.
A modern GUI client based on Tauri, designed to run in Windows, macOS and Linux for tailored proxy experience
Production-ready platform for agentic workflow development.
FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, le…
Jupyter notebooks and other resources for Think Python by Allen Downey, published by O'Reilly Media.
Question and Answer based on Anything.
pix2tex: Using a ViT to convert images of equations into LaTeX code.
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
A curated list of awesome neural radiance fields papers
AnyLoc: Universal Visual Place Recognition (RA-L 2023)
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
The world's simplest facial recognition api for Python and the command line
Wrapper for 10+ VPR models. Use any SOTA VPR model just by changing one parameter
Myria3D: Aerial Lidar HD Semantic Segmentation with Deep Learning
Gather information about the data availability of lidar data (mainly airborne laserscanning, ALS) in Germany, Europe and worldwide.
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.