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

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

The fastai deep learning library

A game theoretic approach to explain the output of any machine learning model.

Python programs, usually short, of considerable difficulty, to perfect particular skills.

The fastai book, published as Jupyter Notebooks

The "Python Machine Learning (1st edition)" book code repository and info resource

Practice your pandas skills!

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

fast.ai Courses

The 3rd edition of course.fast.ai

A collection of infrastructure and tools for research in neural network interpretability.

A python library for decision tree visualization and model interpretation.

Keras implementation of a CNN network for age and gender estimation

Repository for suggesting new lineages that should be added to the current scheme

Real numbers, data science and chaos: How to fit any dataset with a single parameter

optimization routines for hyperparameter tuning

Example project for the course "Testing & Monitoring Machine Learning Model Deployments"

Kaggling for fast kagglers!

Jupyter Notebooks for Python Introduction, University of Basel, May 2020

A series of little puzzles and training exercises aimed at improving python knowledge for data science

Prediction of the 2020 OL Climbing Results

Repo for training model used in crypto-trading-agent project

Project to explore how to recreate a (super) light version of codex, the llm behind github copilot. Only for the python programming language.