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A Collection of Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science)
Run AI NWP forecasts hassle-free, serverless in the cloud!
A gallery of interesting Jupyter Notebooks based on Brazil Data Cube data and technologies
Integrate the DeepSeek API into popular softwares
Library to download goes Satellite data from Google Cloud Platform
LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputatio…
Brazil Data Cube Documentation Web Site
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
Free Weather Forecast API for non-commercial use
A highly customizable homepage (or startpage / application dashboard) with Docker and service API integrations.
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight)
Códigos e dados da parte prática do curso de radar com Python ministrado pela UNIFEI e INPE em 2024
A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
High-Resolution Image Synthesis with Latent Diffusion Models
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
Repository to place example notebooks for Deep Learning applications with TensorFlow and Earth Engine.
Export and cloud mask Google Earth Engine imagery
A curated list of Google Earth Engine resources
Visualize classified time series data with interactive Sankey plots in Google Earth Engine
A Python interface between Earth Engine and xarray for processing time series data
A collection of tools to work with Google Earth Engine Python API
Graph-based weather forecasting models. Originally, PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)