Yaman Al Bochi's Projects
A Collection of GitHub Actions That Facilitate MLOps
π€ Assemble, configure, and deploy autonomous AI Agents in your browser.
Build AI-powered applications with React, Svelte, Vue, and Solid
artificial intelligence on python!
My AI security testing projects
π₯π₯π₯AidLearning is a powerful AIOT development platform, AidLearning builds a linux env supporting GUI, deep learning and visual IDE on Android...Now Aid supports CPU+GPU+NPU for inference with high performance acceleration...Linux on Android or HarmonyOS
Data integration platform for ELT pipelines from APIs, databases & files to warehouses & lakes.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
This repo contains the necessary scripts to follow the SageMaker Amazon Forecast MLOps Integration Immersion Day
Amazon Kinesis Client Library for Python
Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment
Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.
Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.
A Data Engineering & Machine Learning Knowledge Hub
A Langchain app that allows you to chat with multiple PDFs
Apache Atlas
Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.
π€ A curated awesome list of Machine Learning Engineering resources. Feel free to contribute!
:sunglasses: A curated list of awesome MLOps tools
A curated list of references for MLOps
The Amazon Athena Query Federation SDK allows you to customize Amazon Athena with your own data sources and code.
Replication utility for AWS Glue Data Catalog
AWS Glue code samples
Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.
Enabling Continuous Data Processing with Apache Spark and Azure Event Hubs
Azure Stream Analytics
A Bank wants to make use of machine learning to assess the creditworthiness of an applicant by implementing a model that will predict if the potential borrower will default on his/her loan or not, and do this such that they receive a response immediately after completing their application.
bash script to install Artifical Images materials
Unified Model Serving Framework π±
Google AI 2018 BERT pytorch implementation