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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), https://openreview.net/forum?id=JePfAI8fah
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.
Search, composite, and download Google Earth Engine imagery.
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
PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)
reads wrf namelist.wps file, extracts data, recreates projections for multiple domains with plotting features
Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields
TATHU is a Python package for tracking and analyzing the life cycle of convective systems.
Visualization and postprocessing of the WRF and ERA5 data
Streamlit app to train, evaluate and optimize a Prophet forecasting model.
spinesTS, a powerful toolset for time series prediction, is one of the cornerstones of PipelineTS.
Python package for automatically constructing features from multiple time series
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
framework for developing machine (and deep) learning models for structured data
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)