Resoruce to help you to prepare for your comming data science interviews

Minima is a one-size-fits-all Jekyll theme for writers.

Accurately Locate Smartphones using Social Engineering

2D structural analysis in Python

ML Tools.

DSPy: The framework for programming—not prompting—foundation models

llama3 implementation one matrix multiplication at a time

Lighter web automation with Python

🌐 The Internet OS! Free, Open-Source, and Self-Hostable.

A curated list of Best Artificial Intelligence Resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

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

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

A MNIST-like fashion product database. Benchmark 👇

Data science interview questions with answers. Not ideally (yet)

What the f*ck Python? 😱

You like pytorch? You like micrograd? You love tinygrad! ❤️