Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs,…

This is a repo with links to everything you'd ever want to learn about data engineering

Data Engineering Zoomcamp is a free nine-week course that covers the fundamentals of data engineering.

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

StableLM: Stability AI Language Models

Free MLOps course from DataTalks.Club

Technical Analysis Library using Pandas and Numpy

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entr…

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

Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features

Tutorials for the Hopsworks Platform

A repository for all ZenML projects that are specific production use-cases.

A project to deploy an online app that predicts the win probability for each NBA game every day. Demonstrates end-to-end Machine Learning deployment.

(CVPR 2025) Switti: Designing Scale-Wise Transformers for Text-to-Image Synthesis

Hourly Electricity Demand Prediction Service

Tools to Transform a Time Series into Features and Target a.k.a Supervised Learning

Project bike sharing predictor

Practical guide to build end-to-end machine learning pipeline and deploy your model in production,

System built to find your lookalike with AI

O'Reilly book - Building Machine Learning Systems with a feature store: batch, real-time, and LLMs

Demo for Using GitHub Actions in MLOps

Tutorial on training a PyTorch neural network model using MLflow for experiment tracking & Optuna for hyperparameter optimization.

Serverless ML prediction system to predict electricity demand in NY, USA

Container images and tool for running machine learning with Rust on Amazon SageMaker

Vehicle data classification (supervised, unsupervised learning)