Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

Processing and gridding spatial data, machine-learning style

A multi-page streamlit app for geospatial

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

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.

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Publication-ready NN-architecture schematics.

Keras implementations of Generative Adversarial Networks.

QGIS plugin: Samples polygon attributes and raster values from multiple layers at specified sampling points

Context geo-tiles in Python

🔥Highlighting the top ML papers every week.

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Python tools for geographic data

starter from "How to Train a GAN?" at NIPS2016

This a simple project in javafx to management library

Algorithm implementations and homework solutions for the Stanford's online courses

Code for the manim-generated scenes used in 3blue1brown videos

it's a repository to develop proggrams of hydrology researchs,.

📚 Jupyter notebook tutorials for OpenVINO™

Simulation of spiking neural networks (SNNs) using PyTorch.

Animation engine for explanatory math videos

💧 This repository holds a list of open source Python packages interesting to Hydrologists

A comprehensive and up-to-date compilation of datasets, tools, methods, review papers, and competitions for remote sensing change detection.

Brian is a free, open source simulator for spiking neural networks.