Pinned Repositories
build-and-deploy-real-time-feature-pipeline
Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.
bytewax-hopsworks-example
Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)
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
incremental-ml-training-and-serving
Incremental ML learning in the real-world
ml-rest-api-caching
How to serve ML predictions 100x faster
real-time-data-pipelines-in-python
Real-time Feature Pipelines in Python ⚡
real-time-ohlc-with-bytewax
Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit
taxi-data-api-python
Build and deploy a REST API for taxi trip data 🚕
virtual-assistant-llm
Paulescu's Repositories
Paulescu/hands-on-rl
Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻🦸🏽
Paulescu/hands-on-train-and-deploy-ml
Train and Deploy an ML REST API to predict crypto prices, in 10 steps
Paulescu/real-time-data-pipelines-in-python
Real-time Feature Pipelines in Python ⚡
Paulescu/bytewax-hopsworks-example
Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)
Paulescu/build-and-deploy-real-time-feature-pipeline
Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.
Paulescu/real-time-ohlc-with-bytewax
Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit
Paulescu/taxi-data-api-python
Build and deploy a REST API for taxi trip data 🚕
Paulescu/incremental-ml-training-and-serving
Incremental ML learning in the real-world
Paulescu/virtual-assistant-llm
Paulescu/ml-rest-api-caching
How to serve ML predictions 100x faster
Paulescu/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.
Paulescu/testing-llms-in-the-real-world
Test LLMs automatically with Giskard and CI/CD
Paulescu/plot-generator-agent
Join 15k builders to the Real-World ML Newsletter ⬇️⬇️⬇️
Paulescu/trading-bot-gpt
Build a trading bot with OpenAI GPT-3.5, real-time data and prompt experimentation
Paulescu/why-rust
Wanna learn Rust with me? 👇👇👇
Paulescu/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.
Paulescu/text-embedding-evaluation
Join 15k builders to the Real-World ML Newsletter ⬇️⬇️⬇️
Paulescu/crypto-sentiment-with-llms
📡 Extract crypto market signal from news using Python and LLMs 📡
Paulescu/real-world-data-apis
A collection of APIs built and used by the Real World ML Community
Paulescu/backfill-feature-store-with-prefect
Backfill historical OHLC feature in a Feature Store (Hopsworks) using an orchestration tool (Prefect).
Paulescu/taxi-data-api
Paulescu/awesome-rust-ml
ML projects built in Rust 🦀
Paulescu/how-to-scale-ml-inference
Paulescu/let-s-rust
Paulescu/quix-streams
Quix Streams - A library for data streaming and Python Stream Processing
Paulescu/real-time-ml-system-cohort-1-lesson-1
Paulescu/taxi-data-api-python-fork
Paulescu/zenml-example
Paulescu/cdk_workshop
Paulescu/real-time-ohlc-with-quix