Stars
A best practice for deep learning project template architecture.
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proof of concept for a transformer-based time series prediction model
A Python library that implements ״Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting״
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
A benchmark for the next generation of data-driven global weather models.
Official implementation of Score-based Data Assimilation
SLAMS: Score-based Latent Assimilation in Multimodal Setting
A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
Particle filter assimilation development tool to assimilate Sentinel 1 product into CROCUS (snowpack model)
Spatial Processes in HYdrology hydrological model
Python library to train neural networks with a strong focus on hydrological applications.
A GPT offers an authentic practice experience, helpful for anyone preparing for IELTS.
PyTorch Implementation of Google Research's MetNet and MetNet-2
This is the notes of the way of machine learning study. You may find something useful in it.
A Library for Advanced Deep Time Series Models.
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
Soil moisture estimation model within the Rangeland Carbon Tracking Tool