Jupyter Notebook GPU

Open-source Jupyter Notebook projects categorized as GPU | Edit details

Top 11 Jupyter Notebook GPU Projects

  • fastai

    The fastai deep learning library

    Project mention: [D] What Repetitive Tasks Related to Machine Learning do You Hate Doing? | reddit.com/r/MachineLearning | 2022-02-21

    There is already a ton of momentum around automating ML workflows. I would suggest you contribute to a preexisting project like, for instance, PyTorch Lightning or fast.ai.

  • 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.

    Project mention: 20+ Free Tools & Resources for Machine Learning | dev.to | 2022-03-31

    H2O.ai H2O is a deep learning tool built in Java. It supports most widely used machine learning algorithms and is a fast, scalable machine learning application interface used for deep learning, elastic net, logistic regression, and gradient boosting.

  • Scout APM

    Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.

  • pycaret

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

    Project mention: Pycaret | news.ycombinator.com | 2021-12-28
  • adanet

    Fast and flexible AutoML with learning guarantees.

    Project mention: Show HN: AutoAI | news.ycombinator.com | 2021-11-12

    Looks like a nice project. I just bookmarked it to try sometime.

    At a previous job, my boss wanted me to spend time on AutoML. I based my work on Google’s AdaNet [1] that did architecture search inside a single TensorFlow session. Unfortunately that project seems to have been abandoned.

    [1] https://github.com/tensorflow/adanet

  • ML-Workspace

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

    Project mention: All-in-One Docker Based IDE for Data Science and ML | news.ycombinator.com | 2021-09-24
  • TrainYourOwnYOLO

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

  • adaptnlp

    An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

    Project mention: Tools to use for Semantic-searching Question Answering System | reddit.com/r/learnprogramming | 2022-04-23

    Check out adaptnlp

  • SonarLint

    Deliver Cleaner and Safer Code - Right in Your IDE of Choice!. SonarLint is a free and open source IDE extension that identifies and catches bugs and vulnerabilities as you code, directly in the IDE. Install from your favorite IDE marketplace today.

  • tf-metal-experiments

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

    Project mention: TensorFlow Metal Back End on Apple Silicon Experiments (Just for Fun) | news.ycombinator.com | 2021-11-15
  • aws-virtual-gpu-device-plugin

    AWS virtual gpu device plugin provides capability to use smaller virtual gpus for your machine learning inference workloads

    Project mention: Share a GPU between pods on AWS EKS | dev.to | 2021-11-04

    This project (available here) uses the k8s device plugin described by this AWS blog post to make GPU-based nodes publish the amount of GPU resource they have available. Instead of the amount of VRAM available or some abstract metric, this plugin advertises the amount of pods/processes that can be connected to the GPU. This is controlled by what is called by NVIDIA as Multi-Process Service (MPS).

  • colab-vscode

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

    Project mention: Ask HN: What ML platform are you using? | news.ycombinator.com | 2022-03-13

    I created something that lets you get free GPU on VS Code with Google Colab with just 1-click. Have a look at https://github.com/DerekChia/colab-vscode

    This is my default go-to as a poor man ML setup, with environment and dependencies set up automatically via bash script on start up.

  • blog-tpi-jupyter

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

    Project mention: How to Run Jupyter In Any Cloud With One Command | dev.to | 2022-04-28

    git clone https://github.com/iterative/blog-tpi-jupyter cd blog-tpi-jupyter export NGROK_TOKEN="..." # Signup for free at https://ngrok.com terraform init # Setup local dependencies terraform apply # Create cloud resources & upload workdir terraform refresh # Get URLs (rerun if blank)

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). The latest post mention was on 2022-04-28.

Jupyter Notebook GPU related posts


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

Project Stars
1 fastai 22,238
2 H2O 5,812
3 pycaret 5,624
4 adanet 3,396
5 ML-Workspace 2,545
6 TrainYourOwnYOLO 575
7 adaptnlp 394
8 tf-metal-experiments 143
9 aws-virtual-gpu-device-plugin 111
10 colab-vscode 36
11 blog-tpi-jupyter 2
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