Jupyter Notebook GPU

Open-source Jupyter Notebook projects categorized as GPU

Top 13 Jupyter Notebook GPU Projects

  • fastai

    The fastai deep learning library

    Project mention: Las 10 Mejores Herramientas de Inteligencia Artificial de Código Abierto | dev.to | 2024-08-21

    [(https://dev-to-uploads.s3.amazonaws.com/uploads/articles/tduf4kyv9ezy5oz60pk1.png)](https://github.com/fastai/fastai)

  • InfluxDB

    Purpose built for real-time analytics at any scale. InfluxDB Platform is powered by columnar analytics, optimized for cost-efficient storage, and built with open data standards.

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  • pycaret

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

  • 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.

  • adanet

    Fast and flexible AutoML with learning guarantees.

  • ML-Workspace

    🛠 All-in-one web-based IDE specialized for machine learning and data science.

  • hyperlearn

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

    Project mention: 80% faster, 50% less memory, 0% loss of accuracy Llama finetuning | news.ycombinator.com | 2023-12-01

    Good point - the main issue is we encountered this exact issue with our old package Hyperlearn (https://github.com/danielhanchen/hyperlearn).

    I OSSed all the code to the community - I'm actually an extremely open person and I love contributing to the OSS community.

    The issue was the package got gobbled up by other startups and big tech companies with no credit - I didn't want any cash from it, but it stung and hurt really bad hearing other startups and companies claim it was them who made it faster, whilst it was actually my work. It hurt really bad - as an OSS person, I don't want money, but just some recognition for the work.

    I also used to accept and help everyone with their writing their startup's software, but I never got paid or even any thanks - sadly I didn't expect the world to be such a hostile place.

    So after a sad awakening, I decided with my brother instead of OSSing everything, we would first OSS something which is still very good - 5X faster training is already very reasonable.

    I'm all open to other suggestions on how we should approach this though! There are no evil intentions - in fact I insisted we OSS EVERYTHING even the 30x faster algos, but after a level headed discussion with my brother - we still have to pay life expenses no?

    If you have other ways we can go about this - I'm all ears!! We're literally making stuff up as we go along!

  • gdrl

    Grokking Deep Reinforcement Learning

  • SaaSHub

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

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  • TrainYourOwnYOLO

    Train a state-of-the-art yolov3 object detector from scratch!

  • cucim

    cuCIM - RAPIDS GPU-accelerated image processing library

    Project mention: FLaNK Stack Weekly for 13 November 2023 | dev.to | 2023-11-13
  • tf-metal-experiments

    TensorFlow Metal Backend on Apple Silicon Experiments (just for fun)

  • benchmarks

    Comparison tools (by catboost)

  • colab-vscode

    ✨ 1-Click Free GPU on VS Code with Google Colab

  • blog-tpi-jupyter

    Terraform Provider Iterative + Jupyter + TensorBoard + AWS/Azure/GCP/K8s

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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Jupyter Notebook GPU related posts

  • Cleared AWS Machine Learning - Specialty exam.. Happy to help!!!

    2 projects | /r/AWSCertifications | 4 Apr 2023
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    1 project | /r/macbookpro | 26 Feb 2023
  • People tricking ChatGPT “like watching an Asimov novel come to life”

    1 project | news.ycombinator.com | 2 Dec 2022
  • Run Stable Diffusion on Your M1 Mac’s GPU

    24 projects | news.ycombinator.com | 1 Sep 2022
  • Use Free GPU on VS Code with Google Colab

    1 project | news.ycombinator.com | 21 Feb 2022
  • Good practices for neural network training: identify, save, and document best models

    1 project | dev.to | 4 Jan 2022
  • Run VS Code on Google Colab with 1-click

    1 project | /r/GoogleColab | 16 Dec 2021
  • A note from our sponsor - SaaSHub
    www.saashub.com | 7 Sep 2024
    SaaSHub helps you find the best software and product alternatives Learn more →

Index

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

Project Stars
1 fastai 26,074
2 pycaret 8,791
3 H2O 6,852
4 adanet 3,469
5 ML-Workspace 3,387
6 hyperlearn 1,767
7 gdrl 775
8 TrainYourOwnYOLO 647
9 cucim 336
10 tf-metal-experiments 271
11 benchmarks 167
12 colab-vscode 95
13 blog-tpi-jupyter 3

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