An Obsidian vault for mapping out components of the Cloud Native Geospatial ecosystem

🧮 Path to a free self-taught education in Mathematics!

Data-Driven Astrology 💫 Kerykeion is a Python library for astrology. It generates SVG charts and extracts detailed structured data for birth charts, synastry, transits, composite charts, and more.

SpiceyPy: a Pythonic Wrapper for the SPICE Toolkit.

Quickly produce both human-readable and JSON-formatted astrology chart data based on the Swiss Ephemeris and astro.com.

Python library for Traditional Astrology

Swiss Ephemeris source code, official release by Astrodienst. For reporting issues or problems, please use the public mailing list https://groups.io/g/swisseph

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

Program to decode radio transmissions from devices on the ISM bands (and other frequencies)

Rapidly build AI apps in Python

The Clay Foundation Model - An open source AI model and interface for Earth

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

Bulwark is a package for convenient property-based testing of pandas dataframes.

Example repo to train and deploy models from the NeuralHydrology framework with Google Cloud

Semantic Segmentation for Remote Sensing Images;Officail Repo for the EarthNets Platform. https://arxiv.org/pdf/2210.04936.pdf

A pandoc LaTeX template to convert markdown files to PDF or LaTeX.

IPMI2019 paper - Melanoma Recognition via Visual Attention

Lightweight, Pre-trained Transformers for Remote Sensing Timeseries

Deep Learning-based QAQC tools for FAO's Forest Resource Assessment (FRA) Remote Sensing Survey (RSS)

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

SSL4EO-S12: a large-scale dataset for self-supervised learning in Earth observation

Public Fused UDFs. Build any scale workflows with the Fused Python SDK and Workbench webapp, and integrate them into your stack with the Fused Hosted API.

This repository provides inference code to compute canopy height maps from aerial images, as described in the paper "Very high resolution canopy height maps from RGB imagery using self-supervised v…

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

tensorboard for pytorch (and chainer, mxnet, numpy, ...)