Julian Aronowitz's starred repositories
financial_lessons
What financial info would I have wanted to know when I was 22 and jumping into tech?
The-Elements-of-Statistical-Learning-Python-Notebooks
A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
nba-optimize
Code that show how to optimize a DFS NBA lineup, which is a version of a knapsack problem
cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
causal_inference_python_code
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins