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[CVPR 2024] Official implementation of "DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting"
[ICLR 2025] CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching
[CVPR2025] Code Release of F-LMM: Grounding Frozen Large Multimodal Models
Multimodal Large Language Models for Remote Sensing (RS-MLLMs): A Survey
A Python toolkit for rule-based/unsupervised anomaly detection in time series
Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
Water is an attempt to create an open-access dataset and ML framework for monitoring/forecasting stream flows and snowpack depth.
Global shoreline mapping tool from satellite imagery
This repository contains code for the paper "Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context"
A pip-installable PyTorch implementation of TSMixer, providing an easy-to-use and efficient solution for time-series forecasting.
⚡ Workflow Automation Platform. Orchestrate & Schedule code in any language, run anywhere, 500+ plugins. Alternative to Zapier, Rundeck, Camunda, Airflow...
AI Challenges based on the SEVIR weather dataset
Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"
Pytorch implementation of GRU-ODE-Bayes
This repository contains the code used for Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit (https://dl.acm.org/doi/10.1145/3450439.3451860).
Python tools for interacting with Wikidata
Adds support for chat archiving and server statistics to Openfire
[RSE 2021] Crop mapping from image time series: deep learning with multi-scale label hierarchies
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
PyTorch implementations of Generative Adversarial Networks.
Drift Detection for your PyTorch Models
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
BeFAIR (Be Findable, Accessible, Interoperable, Reusable) Open Science Framework
List of tools & datasets for anomaly detection on time-series data.