EMNLP 2025: SERVAL: Surprisingly Effective Zero-Shot Visual Document Retrieval Powered by Large Vision and Language Models

Automated backups of tabular data from Princeton Geniza Project

[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

🌎 🤝 AI weather models united

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.

An OBD-II database for Toyota Etios 2014 vehicle

Event Driven Orchestration & Scheduling Platform for Mission Critical Applications

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