Generate and modify transport demand scenarios via a Python API.
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Updated
Jul 3, 2024 - Python
Generate and modify transport demand scenarios via a Python API.
Manipulate MATSim networks via a Python API.
A tool for extracting facility locations and features from OpenStreetMap (OSM) data
Command line utility for processing MATSim events output files.
Library for rain estimation and detection built with PyTorch. This library provides an implementation of algorithms for extracting rain-rate using data from commercial microwave links (CMLs). Addinaly this project provide an example dataset with data from two CMLs and implementation of performance and robustness metrics
DocGenius AI - Generative AI Chatbot for your Documents - Powered by Cloudera Machine Learning (CML)
Simple autograding with GitHub Classroom + GitHub Actions + CML Container
Making MATSim Configuration fun again
A project on automating ML workflow using scikit-learn pipelines, CML, and GitHub actions.
ML system for news text classification with CML and DVC
A simple project to implement a Predictive Model as a Web App with the help of Flask, Flasgger, and Docker on Python.
This repo contains a short ml project to test GitHub Actions for continuous integration for ml.
A collection of CML automation scripts for making CML easier to submit for classes.
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