Hrabehar

annotated_research_papers

This repo contains annotated research papers that I found really good and useful

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

deep_learning_for_structured_data

Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-structured-data

GBST

GBST is an optimized distributed gradient boosting survival trees library that is implemented based on the XGBoost

keras-idiomatic-programmer

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

machine-learning-for-trading

Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.

ML-Live-Intermediate

Machine Learning with scikit-learn for Safari Books Online, intermediate

modeldb

Open Source ML Model Versioning, Metadata, and Experiment Management

prefect

The easiest way to automate your data

rdhs

API Client and Data Munging for the Demographic and Health Survey Data

testing-and-monitoring-ml-deployments

Example project for the course "Testing & Monitoring Machine Learning Model Deployments"

urban_score