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This repository is a collection of practical machine learning implementations designed to demonstrate core predictive analytics, computer vision, and natural language processing techniques. It serves as a resource for applying standard machine learning frameworks to solve diverse data science problems, ranging from automated classification to complex pattern recognition. The project distinguishes itself by providing concrete examples across multiple domains, including the development of conversational interfaces, the analysis of geospatial data, and the implementation of deep learning archite
Documentation and samples for ArcGIS API for Python
EarthPy makes it easier to plot and manipulate spatial data in Python.
pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci
The main features of geospace-code/pymap3d are: Geospatial Analysis, Localization and State Estimation.
Open-source alternatives to geospace-code/pymap3d include: shsarv/machine-learning-projects — This repository is a collection of practical machine learning implementations designed to demonstrate core predictive… emlid/ntripbrowser — CLI tool to easily get NTRIP caster information. esri/arcgis-python-api — Documentation and samples for ArcGIS API for Python. gante/mmwave-localization-learning — 🎯 ML-based positioning method from mmWave transmissions - with high accuracy and energy efficiency. geopandas/geopandas — GeoPandas is a Python library that extends pandas with native support for geospatial data. It treats geographic… earthlab/earthpy — EarthPy makes it easier to plot and manipulate spatial data in Python.
