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Jupyter Notebook

Top Jupyter Notebook repositories in Polish open source.

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Top 10 by stars

  1. 1
    Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
    ⭐ 2 556
  2. 2
    Experiments with Deep Learning
    ⭐ 1 351
  3. 3
    Localize your cat at home with BLE beacon, ESP32s, and Machine Learning
    ⭐ 637
  4. 4
    Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
    ⭐ 602
  5. 5
    A tutorial on Julia DataFrames package
    ⭐ 538
  6. 6
    Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly without hustles of derivation and Python codes are straightforward.
    ⭐ 495
  7. 7
    Jupyter's kernel for Elixir programming language
    ⭐ 368
  8. 8
    Codes for the book "Julia for Data Analysis"
    ⭐ 219
  9. 9
    Repository for storing and tracking my self-study progress.
    ⭐ 216
  10. 10
    Explanatory Model Analysis. Explore, Explain and Examine Predictive Models
    ⭐ 198
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  1. 1
    Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly without hustles of derivation and Python codes are straightforward.
    ⭐ 11
  2. 2
    Localize your cat at home with BLE beacon, ESP32s, and Machine Learning
    ⭐ 8
  3. 3
    Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
    ⭐ 5
  4. 4
    Generating retro pixel game characters with Generative Adversarial Networks. Dataset "TinyHero" included.
    ⭐ 4
  5. 5
    Rozwiązania zadań z przedmiotu Algorytmy i Struktury Danych na AGH 2020/2021
    ⭐ 3
  6. 6
    Materiały szkoleniowe dla uczestników Olimpiady Sztucznej Inteligencji
    ⭐ 3
  7. 7
    Artificial Benchmark for Community Detection (ABCD) - A Fast Random Graph Model with Community Structure
    ⭐ 2
  8. 8
    ⭐ 2
  9. 9
    Course material for Reproducible Research UW - 2025
    ⭐ 2
  10. 10
    Repozytorium kursu: Data Science Bootcamp w języku Python - od A do Z (12.5h)
    ⭐ 2
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Top 10 by stars

  1. 1
    Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.
    ⭐ 539
  2. 2
    Gradient based receptive field estimation for Convolutional Neural Networks
    ⭐ 341
  3. 3
    The code to reproduce results from paper "MultiFiT: Efficient Multi-lingual Language Model Fine-tuning" https://arxiv.org/abs/1909.04761
    ⭐ 284
  4. 4
    RS School Machine Learning course
    ⭐ 233
  5. 5
    Skrypty, tutoriale oraz programistyczna baza wiedzy dotycząca pracy z modelem Bielik.
    ⭐ 189
  6. 6
    Python Online and Offline ECG QRS Detector based on the Pan-Tomkins algorithm
    ⭐ 182
  7. 7
    AutoML Web App - build Machine Learning pipeline in automatic way with Graphical User Interface (GUI). You can run app locally!
    ⭐ 176
  8. 8
    SurvSHAP(t): Time-dependent explanations of machine learning survival models
    ⭐ 97
  9. 9
    Demand Forecasting Models for Kaggle competition
    ⭐ 91
  10. 10
    Mol-CycleGAN - a generative model for molecular optimization
    ⭐ 77
See top 100
  1. 1
    Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.
    ⭐ 23
  2. 2
    Skrypty, tutoriale oraz programistyczna baza wiedzy dotycząca pracy z modelem Bielik.
    ⭐ 6
  3. 3
    Podstawy Sztucznej Inteligencji 2026
    ⭐ 2
  4. 4
    preSCRIPT: Large-scale prescription search, dose annotation and therapy reconstruction for pharmacogenomic studies
    ⭐ 2
  5. 5
    A tutorial for the SRAI library
    ⭐ 2
  6. 6
    Code for the article "Benchmarking Pretrained Molecular Embedding Models For Molecular Representation Learning" https://arxiv.org/abs/2508.06199
    ⭐ 2
  7. 7
    Wykłady z Pythona na AGH w formacie IPython Notebook
    ⭐ 1
  8. 8
    ⭐ 1
  9. 9
    ⭐ 1
  10. 10
    ⭐ 1
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