Lists (1)
Stars
Automated photo stiching tool. Lets you import a directory of images and then export the autodetected panoramas.
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
MOMENT: A Family of Open Time-series Foundation Models, ICML'24
Super-Resolution of Sentinel-2 Using Generative Adversarial Networks
A collection of (mostly) technical things every software developer should know about
interactive notebooks from Planet Engineering
Implementation of the Aurora model for Earth system forecasting
Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.
Hybrid ML + physics model of the Earth's atmosphere
Scalable and user friendly neural 🧠 forecasting algorithms.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Scalable machine 🤖 learning for time series forecasting.
Chronos: Pretrained Models for Probabilistic Time Series Forecasting
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's …
Scalable PaaS (automated Docker+nginx) - aka Heroku on Steroids
Create agents that monitor and act on your behalf. Your agents are standing by!
Python implementation for calculating the Standard Precipitation Index (SPI) and Standard Precipitation Evapotranspiration Index (SPEI)
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
An EPANET compatible python package to simulate and analyze water distribution networks under disaster scenarios.
An object-oriented algebraic modeling language in Python for structured optimization problems.
Physics-informed neural networks for the Richardson-Richards equation
Investigating PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
SQL upsert using pandas DataFrames for PostgreSQL, SQlite and MySQL with extra features
Drop-in API-key based security for FastAPI
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.