opengeos / segment-geospatial

A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

GeoAI: Artificial Intelligence for Geospatial Data

A curated list of Google Earth Engine resources

A multi-page streamlit app for geospatial

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Earth observation tools for Meta AI Segment Anything

#大语言模型#本地化搭建和运行 Llama2 和其他大模型

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

Open-Sora： 完全开源的高效复现类Sora视频生成方案

Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective. D...

#数据仓库#TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

#前端开发#现代化、全栈 Web 应用模板。使用FastAPI、React, SQLModel, PostgreSQL, Docker, GitHub Actions 等技术。

大模型Grok-1开源

#人脸识别#PaddleDetection为基于飞桨PaddlePaddle的端到端目标检测套件，提供多种主流目标检测、实例分割、跟踪、关键点检测算法，配置化的网络模块组件、数据增强策略、损失函数等，推出多种服务器端和移动端工业级SOTA模型，并集成了模型压缩和跨平台高性能部署能力,帮助开发者更快更好完成端到端全开发流程。

#大语言模型#🙌 OpenHands: Code Less, Make More

#计算机科学#PyTorch 是一个开源的Python机器学习库，基于Torch，底层由C++实现。

#前端开发#quivr 是一个开源RAG框架，利用生成式AI技术构建你的 ”第二大脑“。使用 Langchain、GPT 3.5 / 4 turbo、Private、Anthropic、VertexAI、Ollama、LLMs、Groq 与您的文档 (PDF、CSV 等) 和应用程序聊天

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

The first real AI developer

#大语言模型#Effortless data labeling with AI support from Segment Anything and other awesome models.

#Awesome#Curated list of chatgpt prompts from the top-rated GPTs in the GPTs Store. Prompt Engineering, prompt attack & prompt protect. Advanced Prompt Engineering papers.

A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment