Learn how to responsibly deliver value with ML.

A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.

A complete computer science study plan to become a software engineer.

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

Book about interpretable machine learning

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

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

Hummingbird compiles trained ML models into tensor computation for faster inference.

GAMI-Net: Generalized Additive Models with Structured Interactions

An open-source, low-code machine learning library in Python

Unwrapping Black Box of ReLU DNNs

Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning

This is github repositories for all data science material I feel important. I would update it daily.

A comprehensive reference for all topics related to Natural Language Processing

100 numpy exercises (with solutions)

A curated list of references for MLOps

😎 Awesome lists about all kinds of interesting topics

Single-index Model Tree

List of projects related to Natural Language Processing (NLP) that make a geek smile for they exist

A booklet on machine learning systems design with exercises

😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness

Explainable Recommendation Systems

Generalized additive index modeling

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Enhanced Explainable Neural Network

Investigate how mutual funds leverage credit derivatives by studying their routine filings to the SEC using NLP techniques 📈🤑

🤖⚡ scikit-learn tips

Deep Learning (with PyTorch)