User data from Github https://github.com/eugeneyan
Location:Seattle x Singapore
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🛒 Simple recommender with matrix factorization, graph, and NLP. Beating the regular collaborative filtering baseline.
🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
📄 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)
React specific linting rules for ESLint
active angel investors in developer tools!
🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.
A curated list of awesome things related to FastAPI
A CS degree I designed for myself, 2020
A proof of concept library for generating and running machine learning model tests
A curated list of references for MLOps
Ask Me Anything
🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.
😝 End-to-end machine learning; "no code" required!
Sample repository demonstrating how to use FastAPI to serve HTML web apps.
A curated list of awesome self-supervised methods
Simple template showing how to set up docker for reproducible data science with Jupyter notebooks.
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
Repository for deep reinforcement learning with OpenAI
Tensorflow MNIST example using Dataset API
MIT Deep Learning Book in PDF format