AIOps modules is a collection of reusable Infrastructure as Code (IaC) modules for Machine Learning (ML), Foundation Models (FM), Large Language Models (LLM) and GenAI development and operations on AWS

An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more

Open source platform for the machine learning lifecycle

Experiment tracking server focused on speed and scalability

Built e2e ci/cd pipeline with GitHub Actions, Docker, DockerHub and, Amazon EC2.

FinOps and MLOps platform to run ML/AI and regular cloud workloads with optimal performance and cost.

A collection of machine learning use cases in fintech

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

Análisis exploratorio de datos (EDA) de los alquileres Airbnb de Madrid. Se construyen varios modelos para predecir el precio, registrandolos con MLflow, y se crean dos imágenes de Docker (una con FastAPI y otra con Streamlit). Al final, se despliegan las dos imágenes con dos contenedores en un cluster de Kubernetes, exponiéndolos como un servicio.

creation of an interface and algorithm for forecasting demand for 14 days for goods of own production

DoEKS is a tool to build, deploy and scale Data & ML Platforms on Amazon EKS

Building a full cycle of Machine learning Prediction App for Air quality

Collection of free Notes,Courses,Videos,Projects,Articles and Repos Links To learn Machine learning ,Deep learning,Python,SQL,CNN,NLP,GAN,GNN,Transfomers,Flask,Django,and End to End Machine learning Projects

Predicting building heating and cooling loads from it's architectural features using ML and utilizing MLflow for experiment tracking.

mlflow container setup for docker, docker compose and kubernetes including helm chart

Built e2e ci/cd pipeline with GitHub Actions, Docker, and hosted to Cloud(Render)

Slides and associated files from given talks/presentations/seminars etc

Simple ML system for the iris problem