Microsoft AI for Good Lab — Biodiversity research hub. Open-source AI models, edge devices, and tools for biodiversity monitoring and conservation. Your source for MegaDetector, SPARROW, PytorchWildlife, Bioacoustics, and more.

ai-for-good 开源项目推荐(134 个)
ai-for-good 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 134 个仓库Open-source AI navigation glasses under $35 — they say what they see, and say 'uncertain' instead of guessing. Safety-first, printable enclosure, community build kit.
LLMob is an intuitive framework that builds reasoning logic for LLMs in the context of personal activity trajectory generation.
SPARROW — Solar-Powered Acoustic and Remote Recording Observation Watch. An AI-enabled edge device for biodiversity monitoring with camera-trap imaging and bioacoustic recording. By Microsoft AI for Good Lab.
MegaDetector V6 — Microsoft AI for Good Lab's open-source model that detects animals, people, and vehicles in camera-trap images, filtering blanks to speed wildlife research.
An interactive educational game built for the Google Gemma 3n Impact Challenge.
Aiming to achieve ultimate Multilingual TTS pipeline with main focus on releasing COQUI🐸TTS(Text-to-Speech) based high performing neural voice cloning systems for Bangla for the first time, supporting different SOTA models for Bangla and also Multilingual (Arabic+Bengali) code mixed TTS pipeline.
AI-powered flood intelligence system featuring h2oGPTe Agent + NVIDIA NIM integration (A2A), NAT pipeline with Nemotron 49B, and real-time flood risk assessment. Part of NVIDIA–H2O.ai AI for Good Blueprint for disaster response and monitoring.
Learn AI's role in addressing complex challenges. Build skills combining human and machine intelligence for positive real-world impact using AI
MegaDetector-Overhead — The Microsoft open-source AI for overhead wildlife detection. Point-based detection model for aerial and drone imagery, identifying wildlife from above. Maintained by Microsoft AI for Good Lab. Part of the Pytorch-Wildlife ecosystem.
PyTorch-Wildlife — The Microsoft collaborative deep learning framework for conservation. Multi-task computer vision and bioacoustic models for camera-trap detection, species classification, and biodiversity monitoring. Maintained by Microsoft AI for Good Lab.
🏆 1st Place Winner, Microsoft AI+ Academy | LightBus: AI-powered bus guidance for visually impaired users using Azure ML, Computer Vision, OCR, STT/TTS, and real-time transit data.
Cross Lingual Language models for making search engines for Holy Quran and Sahih Hadiths
An open research commons where people and AI agents work together to solve New Zealand's biggest societal problems. By thecolab.ai.
LyricMind is an AI-powered cognitive firewall that analyzes song lyrics to protect against unconscious absorption of harmful content. Using customizable frameworks and LLMs, it detects risky patterns and integrates with music players to trigger protective actions when thresholds are exceeded.
Repository for the paper "Deciphering Environmental Air Pollution with Large Scale City Data", IJCAI 2022
MegaDetector-Acoustic — The Microsoft open-source AI for bioacoustic biodiversity monitoring. Audio classification and species identification from sound recordings, for terrestrial bioacoustics. Maintained by Microsoft AI for Good Lab. Part of the Pytorch-Wildlife ecosystem.
AI for Good Specialisation by DeepLearning.ai
A Flutter mobile app prototype assisting blind and low-vision (BLV) users with real-time scene understanding, text reading (OCR), and live analysis. Powered by a clean Python/FastAPI backend that leverages Google's Gemini AI models.
🧘 MindWell — Free mental health support platform. Mood tracking, self-assessment quizzes, guided mindfulness exercises & therapeutic tools. Open-source & private.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/ai-for-good。
- 该话题在 GitHub 上共有 134 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1844 Star,覆盖 5 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。