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Top 14 Jupyter Notebook GPU Projects
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Project mention: GSoC 2026 Predictions: 30 NEW AI/ML/Security Organizations You Should Start Contributing to NOW! | dev.to | 2026-02-06
fastai: https://github.com/fastai/fastai ⭐ 26k+
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SaaSHub
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H2O
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
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KernelBench
KernelBench: Can LLMs Write GPU Kernels? - Benchmark + Toolkit with Torch -> CUDA (+ more DSLs)
Project mention: Speeding up PyTorch inference by 87% on Apple with AI-generated Metal kernels | news.ycombinator.com | 2025-09-03Feels like they should have released some code, yeah, but gpt5 success rate was high enough that it looks like you can just pass the kernels they got from https://github.com/ScalingIntelligence/KernelBench/ to gpt5 (with up to five rounds of feeding back compilation/correctness errors back to the model) and get the results yourself.
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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 GPU discussion
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Use Free GPU on VS Code with Google Colab
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Good practices for neural network training: identify, save, and document best models
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Run VS Code on Google Colab with 1-click
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A note from our sponsor - SaaSHub
www.saashub.com | 12 Jul 2026
Index
What are some of the best open-source GPU projects in Jupyter Notebook? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | fastai | 28,075 |
| 2 | pycaret | 9,744 |
| 3 | H2O | 7,498 |
| 4 | ML-Workspace | 3,541 |
| 5 | hyperlearn | 2,454 |
| 6 | KernelBench | 1,119 |
| 7 | gdrl | 1,018 |
| 8 | TrainYourOwnYOLO | 674 |
| 9 | cucim | 463 |
| 10 | tf-metal-experiments | 280 |
| 11 | benchmarks | 172 |
| 12 | colab-vscode | 134 |
| 13 | deepcell-segmentation | 9 |
| 14 | blog-tpi-jupyter | 3 |
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