Rain activity detection using microwave link data with convolutional neural network. Repository for Masters thesis 2024/2025

A multiplatform GUI application for rainfall calculation from point-to-point commercial microwave links (CML) signal data. Based on PyQT6 UI framework and pycomlink CML processing library.

AI for Network Troubleshooting: A Proof of Concept with OpenAI and Langchain

Concurrent ML style first-class synchronous operations for JavaScript

Manipulate MATSim networks via a Python API.

Solution to Session-08 Assignment - AWS Crash Course - (Auto Github ECR push, CML to trigger EC2 spot, DVC Repro S3 storage using github actions)

A simple yet complete guide to MLOps tools and practices - from a conventional way to a modern approach of working with ML projects.

Labs

Experiment Tracking & Hyperparameter Optimization assignment-07 from The School of AI EMLO-V4 course

Data Version Control Pipeline assignment-6 from The School of AI EMLO-V4 course

Gelato turns MATSim outputs into transport sustainability KPI metrics

DocGenius AI - Generative AI Chatbot for your Documents - powered by Cloudera

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

This workshop aims to make use of telco data set to work with CDP utilizing the Data services (CDF, CDE, CDW & CML) for Telecom Churn Use Case.

This project explores automation solutions for each of Cisco's main Data Center products, including ACI, Intersight, NX-OS, and NDFC. Various tools and technologies are used, such as Ansible, Terraform, Python, Postman, and more. After exploring this repo, you'll better understand how to automate the creation and management of the data center.

☁️ Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetes

Generate and modify transport demand scenarios via a Python API.

Context Mapper VSCode Extension

A tool for extracting facility locations and features from OpenStreetMap (OSM) data

A beginner's project on automating the training, evaluation, versioning, and deployment of models using GitHub Actions.