iamirmasoud

energy_consumption_prediction

Energy consumption prediction using LSTM/GRU networks in PyTorch

bulkboto3

Python package for fast and parallel transferring a bulk of files to S3 based on boto3!

pyspark_tutorials

Machine Learning for Big Data using PySpark with real-world projects

mlflow_postgres_minio

Setup collaborative MLflow with PostgreSQL as Tracking Server and MinIO as Artifact Store using docker containers

image_deduplicator

Find and remove duplicated or very similar images from a directory using PyTorch

deep_learning_in_production

Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

mlops

Instructions and scripts for setting up and using MLOps and Data Engineering tools

python_tutorial_material

Materials for my Python tutorials. From basics to Machine Learning, Data Science, and Deep Learning applications.

statistics_concepts

Implementation of Statistics Concepts in Python

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

ci-cd-intro

Intro to CI/CD 💻 ☁️

data_streaming

Hands on data streaming

dbt-basics

dbt-tutorial

deploying_ml_in_production_course

Public repo for DeepLearning.AI MLEP Specialization

disaster_response_app

Implement ETL, NLP, and ML pipelines and a Web App to classify Figure Eight disaster messages

fastapi_ml_docker

Deployment of ML models using FastAPI and Docker

feast-tutorial

Feast Feature Store Tutorial

fraud_detection

Fraud Detection in Python

iamirmasoud

Repo for my Github profile page

ibm_recommendations

Various recommendation approaches on IBM Watson platform

miscellaneous_ml_scripts

Miscellaneous Implementations for Data Science and Machine Learning

ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

ml-practical-usecases

A database of 450 Machine Learning (ML) system design case studies from 100+ companies.

ml_from_scratch

Implementation of fundamental machine learning algorithms from scratch in Python

ml_project_structure

mlops_references

A curated list of references for MLOps

pyspark_basics

Notebooks for Python and Spark for Big Data

pytorch-transformer

Attention is all you need implementation

vertex-ai-mlops

Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations