Real-time Feature Pipelines in Python ⚡
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Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hops...
Real time stock data pipeline --play with Kafka, Cassandra, Spark, Redis, Node.js, Zookeeper
Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit
[UNMAINTAINED] Automated machine learning for analytics & production
Streamlit app to train, evaluate and optimize a Prophet forecasting model.
Winning Contribution of Michael Schwabe and David Lassig to BWI Data Analytics Hackathon 2020 in ...
Learn to build a modular real-time feature pipeline, so you avoid Offline-Online Feature Skew, an...
🧙 Build, run, and manage data pipelines for integrating and transforming data.
The fastest way to iterate and deploy AI workloads on your own infra. Unobtrusive, debuggable, Py...
🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, building and ...
Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature ...
Train and Deploy an ML REST API to predict crypto prices, in 10 steps
PoC for image processing using Kafka, Spark Streaming & TensorFlow
This project aims to predict smartphone prices using a combination of batch and stream processing...