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Top 19 Jupyter Notebook open-source Projects
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For anyone wondering “how slow is this?”
IIUC, Kimi K3 on RTX 6000 Ada (48GB) takes 292 s/token
https://github.com/lyogavin/airllm/releases/tag/v3.1.0
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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machine_learning_complete
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
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Python-project-Scripts
This repositories contains a list of python scripts projects from beginner level advancing slowly. More code snippets to be added soon. feel free to clone this repo
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AlgoBook
A beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨
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OAD
Collection of tools and scripts useful to automate microscopy workflows in ZEN Blue using Python and Open Application Development tools and AI tools.
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deepshot
AI-powered NBA game outcome predictor that uses advanced team stats and trend-based features to forecast winners and track model performance
Project mention: Show HN: DeepShot – NBA Game Predictor with 70% Accuracy Using EWMA and XGBoost | news.ycombinator.com | 2026-01-03I built DeepShot to predict NBA game outcomes using machine learning and advanced rolling statistics.
The model scrapes historical data from Basketball Reference and uses Exponentially Weighted Moving Averages (EWMA) to capture recent team momentum and form. It's powered by XGBoost and achieves roughly 70% prediction accuracy.
The web interface (built with NiceGUI) lets you visualize upcoming matchups, see key statistical differences between teams, and get real-time predictions.
All data is free and public, and it runs locally across all platforms. The model training notebook is included if you want to retrain or experiment with the features.
Would love feedback on the approach or suggestions for improving accuracy!
Live demo: https://deepshot.onrender.com
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COVID-US
Open benchmark dataset of COVID-19 related ultrasound imaging data, curated and systematically validated — Ensemble de données de référence ouvert d'imagerie échographique liées à la COVID-19, organisé et systématiquement validé
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churnguard-ai
Free, open-source churn prediction for SaaS - plug in your data and know who's leaving before they do
Project mention: Show HN: Free open-source churn prediction for SaaS–Stripe and LLM interventions | news.ycombinator.com | 2026-03-09 -
Project mention: Show HN: Improving Prompt Injection Detection with Weighted Ensembles | news.ycombinator.com | 2026-02-06
Hi HN — I’m the author.
This project started as an open-source system for detecting prompt injections in LLMs. The goal is to flag adversarial prompts before they reach a model, while keeping latency low and probabilities well-calibrated.
The main insight came from ensembles: not all models are equally good at every case. Instead of just averaging outputs, I:
1. Benchmarked each candidate model first to see what it actually contributes.
2. Remove models that don’t improve the ensemble through ablation studies (e.g., ProtectAI's Deberta finetune was dropped as it only contributed 0.5% to ECE and actually decreased accuracy).
3. Weight predictions by each model’s accuracy, letting models specialize in what they’re good at.
With this approach, the ensemble is smaller (~237M parameters vs ~600M for the leading baseline), 2x faster, and more calibrated (lower Expected Calibration Error) while still achieving competitive accuracy. Lower confidence on wrong predictions makes it safer for “human-in-the-loop” fallback systems.
For more info, you can check it out here: https://github.com/appleroll-research/promptforest
This project is open to all forms of contributions, and I’d love to hear feedback from the HN community — especially on ideas to further improve calibration, robustness, or ensemble design.
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Employees-Burnout-Analysis-and-Prediction
The "Employees Burnout Analysis and Prediction" GitHub repository is a project focused on analyzing and predicting employee burnout in an organization.
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ML-Algorithms
A collection of machine learning algorithms in Python, including supervised, unsupervised, reinforcement learning, and deep learning, with Jupyter notebooks.
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Data-Science-Data-Analystics-Contribution---Hacktoberfest-2022
About Submit Just 4 PRs to earn Tshirts🔥 in Hacktoberfest 2022
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).
Jupyter Notebook open-source discussion
Jupyter Notebook open-source related posts
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OpenChat 3.2 SUPER is Here!
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OpenChat: Advancing Open-Source Language Models with Imperfect Data
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Creating a new Finetuned model
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AI — weekly megathread!
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Is this claim meaningful? https://news.ycombinator.com/item?id=36555000
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A note from our sponsor - SaaSHub
www.saashub.com | 18 Aug 2026
Index
What are some of the best open-source open-source projects in Jupyter Notebook? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | airllm | 31,210 |
| 2 | machine_learning_complete | 5,020 |
| 3 | Python-project-Scripts | 2,401 |
| 4 | awesome-data-centric-ai | 353 |
| 5 | AlgoBook | 312 |
| 6 | OAD | 169 |
| 7 | deepshot | 168 |
| 8 | rMsync | 100 |
| 9 | wordle | 78 |
| 10 | COVID-US | 62 |
| 11 | event-transcripts | 38 |
| 12 | VevestaX | 29 |
| 13 | beginners-only | 14 |
| 14 | churnguard-ai | 10 |
| 15 | promptforest | 7 |
| 16 | Employees-Burnout-Analysis-and-Prediction | 5 |
| 17 | ML-Algorithms | 5 |
| 18 | AI-B-roll | 5 |
| 19 | Data-Science-Data-Analystics-Contribution---Hacktoberfest-2022 | 4 |
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