The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Python Data Science Handbook: full text in Jupyter Notebooks

This is a repo with links to everything you'd ever want to learn about data engineering

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

CoreNet: A library for training deep neural networks

Flax is a neural network library for JAX that is designed for flexibility.

Create delightful software with Jupyter Notebooks

A computer science textbook

This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small langua…

Various ipython notebooks

This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practic…

Jupyter notebooks in Russian. Introduction to Python, basic algorithms and data structures

⏳🛡 Pythonic universal errors-and-erasures Reed-Solomon codec to protect your data from errors and bitrot. Includes a future-proof zero-dependencies pure-python implementation 🔮 and an optional spee…

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Useful resources for Mongolian NLP

Cookbook examples for the Insight Toolkit documented with Sphinx

Implementation of the A* Search Algorithm. The application will implement a Google-maps-style route planner.