Pau Labarta Bajo's repositories
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
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)
real-time-ohlc-with-bytewax
Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit
build-and-deploy-real-time-feature-pipeline
Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.
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
plot-generator-agent
Join 15k builders to the Real-World ML Newsletter ⬇️⬇️⬇️
trading-bot-gpt
Build a trading bot with OpenAI GPT-3.5, real-time data and prompt experimentation
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.
text-embedding-evaluation
Join 15k builders to the Real-World ML Newsletter ⬇️⬇️⬇️
serverless-ml-course
Serverless ML Course for building AI-enabled Prediction Services from models and features
backfill-feature-store-with-prefect
Backfill historical OHLC feature in a Feature Store (Hopsworks) using an orchestration tool (Prefect).
youtube-text-miner
Build your own textual datasets from Youtube.
deceiving_deepmind_perceiver
Source code to generate adversarial examples to deceive DeepmMind's perceiver model.
quix-streams
Quix Streams - A library for data streaming and Python Stream Processing