Jupyter Notebook GPU

Open-source Jupyter Notebook projects categorized as GPU
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Topics: Deep Learning Python Machine Learning Pytorch Data Science
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Top 14 Jupyter Notebook GPU Projects

  • fastai

    The fastai deep learning library

  • pycaret

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

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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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.

    • Project mention: Really struggling with open source models | /r/LocalLLaMA | 2023-07-12

    I would use H20 if I were you. You can try out LLMs with a nice GUI. Unless you have some familiarity with the tools needed to run these projects, it can be frustrating. https://h2o.ai/

  • 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

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • 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.

  • 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

  • SaaSHub

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

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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 related posts

Index

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

Project Stars
1 fastai 25,610
2 pycaret 8,406
3 H2O 6,730
4 adanet 3,471
5 ML-Workspace 3,324
6 hyperlearn 1,510
7 gdrl 699
8 TrainYourOwnYOLO 635
9 adaptnlp 414
10 cucim 306
11 tf-metal-experiments 259
12 benchmarks 163
13 colab-vscode 77
14 blog-tpi-jupyter 3

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