A curated list of awesome open source tools and commercial products for ML Experiment Tracking and Management 🚀

• UpdatedJul 16, 2024

A curated list of awesome open source and commercial platforms for serving models in production 🚀

• UpdatedApr 20, 2022

A curated list of awesome open source and commercial MLOps platforms 🚀

• UpdatedApr 20, 2022

This project integrates Hyperledger Fabric with machine learning to enhance transparency and trust in data-driven workflows. It outlines a blockchain-based strategy for data traceability, model auditability, and secure ML deployment across consortium networks.

• UpdatedMay 29, 2025
• Shell

In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment constraints and requirements; and learn how to establish a model baseline, address concept drift, and prototype…

• UpdatedNov 4, 2021
• Jupyter Notebook

Predict the future sale price of a bulldozer, given its characteristics and previous examples of how much similar bulldozers have been sold for...

• UpdatedSep 19, 2022
• Jupyter Notebook

I walk you though what an entire machine learning cycle looks like for a binary classification problem. For this walkthrough, we are utilizing UCI's Iranian Churn dataset

• UpdatedAug 10, 2025
• Jupyter Notebook

A controlled environment to play around with various data errors and stages in the ML lifecycle and measure their impact on model fairness and stability.

• UpdatedMay 20, 2023
• Jupyter Notebook

A complete machine learning internship repository covering Python basics, data preprocessing, EDA, model training, serialization, and a Streamlit spam classifier demo for real-time predictions.

• UpdatedAug 22, 2025
• Python