LiCSBAS: InSAR time series analysis package using LiCSAR products
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Updated
Nov 29, 2024 - Python
LiCSBAS: InSAR time series analysis package using LiCSAR products
This repository provides examples and guidance for using Catalyst Center, an intelligent automation and assurance platform for campus networks. It covers various aspects of network automation, including Plug and Play (PnP) workflows, onboarding and day-N templates, and the use of Velocity and Jinja2 scripting languages.
A dash docset for powershell modules : https://docs.microsoft.com/en-us/powershell/module/
NVFi in PyTorch (NeurIPS 2023)
[ICRA 2018] Correlation Flow: Robust Optical Flow using Kernel Cross-Correlators
Radar Doppler velocity dealiasing technique using 3D continuity.
Tools for data-driven spectra models with Gaussian processes. Pronounced "soap."
Post processing routines for analysing PTV data.
A highly memory-efficient layer-selective fine-tuning script for Stable Diffusion XL (SDXL) that trains only your chosen UNet layers while freezing the rest, allowing full-quality fine-tuning on just 12 GB VRAM.
Forecast object trajectory based on history of tracks. Provides a stable and computationally efficient baseline suitable for real-time systems.
A digital piano dynamics training program that provides real-time visualizations and feedback for musicians to more accurately monitor their playing and improve expressiveness..
A package for computing cyclogeostrophic currents with a minimisation-based approach, using JAX.
An autonomous vehicle simulation in ROS and Gazebo. Built around https://github.com/osrf/car_demo
Tools for computing bubble wall speed in cosmological phase transitions
Python implementation of mantle velocity conversion by Goes et al. (2000).
Real-time processing of glider ADCP data
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