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Starred repositories
A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows
Python programs, usually short, of considerable difficulty, to perfect particular skills.
CLI tool for configuring and monitoring Claude Code
A python package for end-to-end geospatial machine learning using multispectral earth observation data such as NASA HLS and ESA Sentinel-2.
PyTorch native quantization and sparsity for training and inference
🌐 The open-source Agentic browser; privacy-first alternative to ChatGPT Atlas, Perplexity Comet, Dia.
InsForge is the backend built for AI-assisted development. Connect InsForge with any agent. Add authentication, database, storage, functions, and AI integrations to your app in seconds.
Build computer vision models in a fraction of the time and with less data.
TESSERA is a foundation model that can process time-series satellite imagery for applications such as land classification and canopy height prediction. Developed at the University of Cambridge, it …
AgentSmithy provides a series of tools and templates that simplify the process of building and deploying custom AI agents on Google Cloud.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Chat2Geo delivers a ChatGPT-like experience tailored for remote-sensing-based geospatial analysis. Its mission is to democratize geospatial insights at scale by harnessing cutting-edge AI technolog…
DevQualityEval: An evaluation benchmark 📈 and framework to compare and evolve the quality of code generation of LLMs.
💫 Toolkit to help you get started with Spec-Driven Development
OpenHealth, AI Health Assistant | Powered by Your Data
Understanding Deep Learning - Simon J.D. Prince
A curated collection of fun and creative examples generated with Nano Banana & Nano Banana Pro🍌, Gemini-2.5-flash-image based model. We also release Nano-consistent-150K openly to support the commu…
GEOBench-VLM: Benchmarking Vision-Language Models for Geospatial Tasks
Breakthrough Method for Agile Ai Driven Development
This is an official PyTorch implementation of our NeurIPS 2023 paper "GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization"