Pau Labarta Bajo

hands-on-rl. Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻‍🦸🏽

hands-on-train-and-deploy-ml. Train and Deploy an ML REST API to predict crypto prices, in 10 steps

kubernetes-for-ml-engineers. Just enough Kubernetes for you to fly

image-classification-with-local-vlms. Learn to build and deploy local Visual Language Models for Edge AI

real-time-data-pipelines-in-python. Real-time Feature Pipelines in Python ⚡

bytewax-hopsworks-example. Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)

build-and-deploy-real-time-feature-pipeline. Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.

chess-game. Learn to fine-tune a Small Language Model and embed it into an iOS application

real-time-ohlc-with-bytewax. Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit

end-2-end-real-time-ml. Let's build a real time fraud detection system using TurboML

taxi-data-api-python. Build and deploy a REST API for taxi trip data 🚕

incremental-ml-training-and-serving. Incremental ML learning in the real-world

ml-rest-api-caching. How to serve ML predictions 100x faster

virtual-assistant-llm. Python

plot-generator-agent. Join 15k builders to the Real-World ML Newsletter ⬇️⬇️⬇️

real-time-technical-indicators. Learn to build a modular real-time feature pipeline, so you avoid Offline-Online Feature Skew, and your deployed ML models work as expected.

adversarial-machine-learning. Hands-on tutorial on adversarial examples 😈. With Streamlit app ❤️.

testing-llms-in-the-real-world. Test LLMs automatically with Giskard and CI/CD

local-coding-assistant. Coding assistant you can use for free on your machine

trading-bot-gpt. Build a trading bot with OpenAI GPT-3.5, real-time data and prompt experimentation

fast_eda. Fast data exploration using Sweetviz

crypto-sentiment-with-llms. 📡 Extract crypto market signal from news using Python and LLMs 📡

why-rust. Wanna learn Rust with me? 👇👇👇

text-embedding-evaluation. Join 15k builders to the Real-World ML Newsletter ⬇️⬇️⬇️

nba-prediction. 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.

serverless-ml-course. Serverless ML Course for building AI-enabled Prediction Services from models and features

Paulescu.

recipe-for-solving-real-world-problems-with-llms. Learn to build real world AI products

real-world-data-apis. A collection of APIs built and used by the Real World ML Community

rust-aws-lambda. Build and deploy a serverless API with Rust and AWS Lambda 🦀🚀

deploying-machine-learning-models. Example Repo for the Udemy Course "Deployment of Machine Learning Models"

beach-challenge-problem. Research project evaluating different LLM approaches for solving complex mathematical reasoning tasks

awesome-real-world-ml. A collection of real world ML engineering projects

backfill-feature-store-with-prefect. Backfill historical OHLC feature in a Feature Store (Hopsworks) using an orchestration tool (Prefect).

awesome-rust-ml. ML projects built in Rust 🦀

how-to-scale-ml-inference. Python

how-to-generate-training-data-faster-and-better. Python

taxi-data-api. Rust

kubernetes-course. Code examples from https://www.udemy.com/course/kubernetes-microservices/

cd4ml-workshop. Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops

youtube-text-miner. Build your own textual datasets from Youtube.

real-time-ml-system-cohort-1-lesson-1. Python

taxi-data-api-python-fork. Python

quix-streams. Quix Streams - A library for data streaming and Python Stream Processing

singapore_public_housing_api. Jupyter Notebook

let-s-rust-together. Build a REST API with Rust

let-s-rust. Rust

deceiving_deepmind_perceiver. Source code to generate adversarial examples to deceive DeepmMind's perceiver model.

zenml-example. Python