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Starred repositories

38 stars written in Jupyter Notebook
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The fastai deep learning library

Jupyter Notebook 27,574 7,657 Updated Oct 26, 2025

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

Jupyter Notebook 27,028 2,711 Updated Nov 5, 2025

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

Jupyter Notebook 24,667 3,441 Updated Nov 4, 2025

Kolmogorov Arnold Networks

Jupyter Notebook 15,962 1,523 Updated Jan 19, 2025

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

Jupyter Notebook 9,575 1,845 Updated Apr 21, 2025

Automatic extraction of relevant features from time series:

Jupyter Notebook 9,009 1,258 Updated Aug 30, 2025

CoreNet: A library for training deep neural networks

Jupyter Notebook 7,024 548 Updated Oct 9, 2025

AirLLM 70B inference with single 4GB GPU

Jupyter Notebook 6,313 489 Updated Sep 3, 2025

Book about interpretable machine learning

Jupyter Notebook 5,123 1,080 Updated Apr 4, 2025

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

Jupyter Notebook 3,110 570 Updated Sep 18, 2025

A high performance implementation of HDBSCAN clustering.

Jupyter Notebook 3,016 518 Updated Oct 11, 2025

Algorithms for outlier, adversarial and drift detection

Jupyter Notebook 2,447 237 Updated Oct 27, 2025

The Numenta Anomaly Benchmark

Jupyter Notebook 2,049 876 Updated Dec 3, 2024

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

Jupyter Notebook 1,788 340 Updated Nov 5, 2025

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

Jupyter Notebook 681 210 Updated Jun 17, 2024

How to do Bayesian statistical modelling using numpy and PyMC3

Jupyter Notebook 670 276 Updated Jul 11, 2022

Precision Medicine Knowledge Graph (PrimeKG)

Jupyter Notebook 646 130 Updated May 27, 2024

Data, Benchmarks, and methods submitted to the M5 forecasting competition

Jupyter Notebook 641 255 Updated Apr 19, 2023

Continual Learning tutorials and demo running on Google Colaboratory.

Jupyter Notebook 355 105 Updated Jul 8, 2022

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

Jupyter Notebook 246 33 Updated Feb 4, 2025

Material for the ML/DS course developed by DATA for 2020.

Jupyter Notebook 72 21 Updated Jun 3, 2020

Machine Learning for Streaming Data with Python, published by Packt

Jupyter Notebook 72 34 Updated Sep 5, 2025

Meaningful Local Explanation for Machine Learning Models

Jupyter Notebook 42 7 Updated Apr 2, 2023

BioAutoML: Automated Feature Engineering and Metalearning

Jupyter Notebook 41 8 Updated Nov 4, 2025

Uncertain Shapelet Transform Classification, a shapelet method for uncertain time series classification

Jupyter Notebook 21 5 Updated Jul 10, 2022
Jupyter Notebook 20 9 Updated Mar 8, 2024

👗 Tidy up your machine learning experiments

Jupyter Notebook 17 3 Updated Sep 5, 2019

Lectures on "Big Data Sets in Astronomy" by Zeljko Ivezic at Sao Paulo School of Advanced Science on Learning from Data, July 31 - Aug 2, 2019

Jupyter Notebook 15 1 Updated Aug 5, 2019

This repository serves as a demo for River and its associated clustering module (2022 edition).

Jupyter Notebook 13 3 Updated Aug 21, 2023

Implementation of a 3D face reconstruction model from low-resolution images.

Jupyter Notebook 11 1 Updated Nov 14, 2019
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