GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale

Implementation of ConvLSTM in pytorch applied for BCI (Brain Machine Interface) following paper: Convolutional LSTM Network-A Machine Learning Approach for Precipitation Nowcasting

Convolutional LSTM CNN for Rain predication. Customzied for CIKM2017 dataset

Implementation of Bidirectional ConvLSTM in Pytorch

In this repo, a few topics about useful Machine Learning and Deep Learning algorithms for Fault Detection and Identification are taught.

Bremen Big Data Challenge 2022 - Code of the team Kornstante

Optimize websites for AI search engines with a universal TypeScript engine supporting Next.js, NestJS, WordPress, and Shopify integration.

Doing research on building better lane detection models than current systems; leveraging the use of a Convolutional LSTM in an encoder-decoder structure to do so.

This repository uses CHIRPS satellite and local station blended precipitation data to analyze and classify drought risk in California’s Central Valley. The focus is to prepare a portfolio-ready project with drought classifier, visualization & analysis, and reproducible ML pipeline.