Jupyter Notebook Research

Open-source Jupyter Notebook projects categorized as Research

Top 22 Jupyter Notebook Research Projects

  1. google-research

    Google Research

    Project mention: 🚀 Vibe Coding Mistakes (When Using AI Tools) and How to Avoid Them | dev.to | 2025-11-13

    Google Research (2024) AI-Assisted Software Engineering Trends [Report]. Available at: https://research.google (Accessed: 12 January 2025).

  2. SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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  3. datasets

    🎁 6,500,000+ Unsplash images made available for research and machine learning (by unsplash)

  4. hyperlearn

    2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

    Project mention: Unsloth: Easily run and train models locally | news.ycombinator.com | 2026-06-18
  5. awesome-data-centric-ai

    Open-Source Software, Tutorials, and Research on Data-Centric AI 🤖

  6. goodreads

    code samples for the goodreads datasets (by MengtingWan)

  7. image-crop-analysis

    Code for reproducing our analysis in the paper titled: Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency

  8. mnist1d

    A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep Learning questions.

  9. srs-benchmark

    A benchmark for spaced repetition schedulers/algorithms

    Project mention: Spaced Repetition Algorithm: A Three‐Day Journey from Novice to Expert | news.ycombinator.com | 2026-03-13

    Nice article but small note:

    >You might be thinking "If spaced repetition is so effective, why isn't it more popular?"

    I might have thought that 30 years ago - but I can't remember the last time I used a flashcard app (phone, Desktop, etc) that didn't include SRS as the default algorithm. These days the new hotness is FSRS [1] which Anki uses.

    [1] - https://github.com/open-spaced-repetition/srs-benchmark?tab=...

  10. coconut_cvpr2024

  11. benford_py

    Python implementation of Benford's Law tests.

  12. deepcourse

    Learn the Deep Learning for Computer Vision in three steps: theory from base to SotA, code in PyTorch, and space-repetition with Anki

  13. cobaltstrike-beacon-data

    Open Dataset of Cobalt Strike Beacon metadata (2018-2022)

  14. DataRater

    Open source implementation of DataRater (https://arxiv.org/abs/2505.17895)

    Project mention: Show HN: An Implementation of DataRater: Meta-Learned Dataset Curation | news.ycombinator.com | 2025-09-20

    This result is representative of the idea where the DataRater learned how to down-weight corrupted images: https://github.com/rishabhranawat/DataRater/blob/main/mnist_...

    The inspiration was Figure 3 in the paper.

    Paper link: https://arxiv.org/abs/2505.17895

  15. tnb-analysis

    Gain insights about thenewboston digital crypto currency network by doing some analysis

  16. OpenFilter

    This repository refers to the paper currently under review for the 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks, under the title "OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters", by Piera Riccio, Bill Psomas, Francesco Galati, Francisco Escolano, Thomas Hofmann and Nuria Oliver.

  17. optimizers-from-scratch

    training models with different optimizers using NumPy only. Featuring SGD, Adam, Adagrad, NAG, RMSProp, and Momentum. This repo also includes a benchmark against Pytorch developed optims.

    Project mention: Implemented all popular optimizers from scratch in NumPy. | dev.to | 2025-08-10

    link: https://github.com/Brokttv/optimizers-from-scratch

  18. roft

    Real or Fake Text? Evaluation criteria for human-written and computer-generated text through the gamification of annotation. Published in EMNLP 2020.

  19. MiniLMs

    A research project focused on studying and implementing minimalist language model architectures and resources for AI

  20. MusicDiffusion

    Music synthesis with diffusion model

  21. monero-mrl-mj

    Experiments for Monero Research Lab (MRL)

  22. AMAYARA-Lab

    The アマヤラ Lab project provides a ready-to-use Jupyter Lab environment to help out with Android malware analysis using YARA rules.

  23. Machine-learning

    Collection of my Machine learning models (by chibuezedev)

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

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Index

What are some of the best open-source Research projects in Jupyter Notebook? This list will help you:

# Project Stars
1 google-research 38,347
2 datasets 2,699
3 hyperlearn 2,454
4 awesome-data-centric-ai 354
5 goodreads 305
6 image-crop-analysis 254
7 mnist1d 253
8 srs-benchmark 230
9 coconut_cvpr2024 206
10 benford_py 154
11 deepcourse 149
12 cobaltstrike-beacon-data 136
13 DataRater 26
14 tnb-analysis 23
15 OpenFilter 13
16 optimizers-from-scratch 13
17 roft 12
18 MiniLMs 11
19 MusicDiffusion 5
20 monero-mrl-mj 3
21 AMAYARA-Lab 1
22 Machine-learning 0

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