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Custom GeForce Now Client Named OpenNOW
Dark Reader Chrome and Firefox extension
High-Performance Symbolic Regression in Python and Julia
PySAL: Python Spatial Analysis Library Meta-Package
A modernized, complete, self-contained TeX/LaTeX engine, powered by XeTeX and TeXLive.
🚀Official Repository of Intelligent Remote Sensing Agents: A Survey
A repository consists of the solutions of leetcode problems, basic theoretical knowledge of data structures and algorithms.
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
A curated list of papers that focus on how to represent Earth data in embedding space — spatial, temporal, or semantic — and how those embeddings behave or are applied.
A free, open source, and extensible speech-to-text application that works completely offline.
One line code to get any remote sensing foundation model embeddings for any place and any time
Automatic color scheme generator from your wallpaper for KDE Plasma powered by Material You
A cross-platform material you and base16 color generation tool
A browser extension that lets you hide recommendations, customize the interface, and take control of your YouTube experience.
GNOME Speech2Text - shell extension for speech to text (dictation) using OpenAI's automated speech recognition Whisper
Spatial Representations for Artificial Intelligence - a Python library toolkit for geospatial machine learning focused on creating embeddings for downstream tasks
A game theory approach to measuring spatial effects from machine learning models.
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Identify bias and measure fairness of your data
Generating Small Area Synthetic Microdata for Public Use
TorchSpatial offers a comprehensive framework and benchmark suite designed to advance Spatial Representation Learning (SRL).
Code and data repository for the paper
A python library for decision tree visualization and model interpretation.
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.