Popular GitHub Repositories for Cloud Computing

Backend.AI is a streamlined, container-based computing cluster platform that hosts popular computing/ML frameworks and diverse programming languages, with pluggable heterogeneous accelerator support including CUDA GPU, ROCm GPU, TPU, IPU and other NPUs.

[TMC'20] Deep Learning based Scheduler for Stochastic Fog-Cloud computing environments

The best collection of AI tutorials to make you a boss of Data Science!

Lets you import Tensorflow + Keras from an AWS lambda

FakeFinder builds a modular framework for evaluating various deepfake detection models, offering a web application as well as API access for integration into existing workflows.

A curated collection of AI, data engineering, and DevOps projects featuring real-world applications, advanced techniques, and tutorials—ideal for learners and practitioners exploring data science and machine learning.

A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup

TwinGraph is a Python framework for distributed container orchestration using Kubernetes clusters, Docker Compose/Swarm or cloud resources on AWS (AWS Lambda, AWS Batch, Amazon EKS). Applications include high-throughput simulations, simulation-driven optimization, Digital Twins and machine learning.

An end-to-end ML Ops project that integrates data ingestion, model training, deployment, monitoring, and continuous delivery for scalable machine learning in production.

Federated Learning Paper Reading List

Some of my reward functions and analysis that helped me throughout my learning

'Talk to Your Factory' demo leveraging Edge (Azure IoT Operations), Cloud (Microsoft Fabric), and a Factory Agent (Azure OpenAI), to streamline factory operations. It allows real-time, natural language communication with factory systems, helping operators quickly identify issues, boost efficiency, and minimize downtime.

This is a capstone project associated with MLOps Zoomcamp. The end goal of the project is to build an end-to-end machine learning project containing feature engineering, training, validation, tracking, modeel deployment, hosting, and general engineering best practices aimed at making house price predictions.

Design and development of a framework of smart cities for intelligent processing data analysis.

Human productivity analytics using computer vision AI based on emotions and gestures.

Automated pipeline for energy consumption forecasting across Europe using Azure cloud and Databricks.

MLOps | Machine Learning Operations Specialization from Duke University : acquiring critical MLOps skills, including the use of Python and Rust, utilizing GitHub Copilot to enhance productivity, and leveraging platforms like Amazon SageMaker, Azure ML, and MLflow.

A server/client approach to face recognition. Aims to be fast, secure and iot friendly. Uses dlib.

A serverless infrastructure to perform sentiment analysis out of audio files.

AI Assistant chat with Firebase