Stars
A powerful set of Python debugging tools, based on PySnooper
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Efficient Python Tricks and Tools for Data Scientists
My notes on how I created my Data Science environment on macOS ARM
Neural Search System on Arxiv AI/ML Papers
This is the notebook associated with the blog post:
Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
A comprehensive reference for all topics related to becoming a great Engineering Manager
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Data science interview questions and answers
Top 200 deep learning Github repositories sorted by the number of stars.
Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.
Approaching (Almost) Any Machine Learning Problem
A framework for detecting, highlighting and correcting grammatical errors on natural language text. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.
A Neural Language Style Transfer framework to transfer natural language text smoothly between fine-grained language styles like formal/casual, active/passive, and many more. Created by Prithiviraj …
https://huyenchip.com/ml-interviews-book/
Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyday.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Perform data science on data that remains in someone else's server