Trending Jupyter Notebook Projects

This page lists the top trending Jupyter Notebook projects based on the growth of GitHub stars.
It is updated once every day. The last update was on 21 Nov 2022.
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Top 50 Trending Jupyter Notebook Projects

  • stability-sdk

    SDK for interacting with APIs (e.g. stable diffusion inference)

  • InvokeAI

    This version of Stable Diffusion features a slick WebGUI, an interactive command-line script that combines text2img and img2img functionality in a "dream bot" style interface, and multiple features and other enhancements. For more info, see the website link below.

  • sample-generator

    Tools to train a generative model on arbitrary audio samples

  • Mubert-Text-to-Music

    A simple notebook demonstrating prompt-based music generation via Mubert API

  • whisper

    Robust Speech Recognition via Large-Scale Weak Supervision

  • course22

    The course notebooks

  • stable-diffusion

    Latent Text-to-Image Diffusion (by runwayml)

  • stable-diffusion

    A latent text-to-image diffusion model

  • BLIP

    PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

  • prompt-to-prompt

  • latent-diffusion

    High-Resolution Image Synthesis with Latent Diffusion Models

  • vertex-ai-samples

    Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

  • CoNR

    Official implementation of CoNR: Collaborative Neural Rendering using Anime Character Sheets

  • disco-diffusion

  • notebooks

    Notebooks using the Hugging Face libraries 🤗 (by huggingface)

  • data-engineering-zoomcamp

    Free Data Engineering course!

  • tensorflow-1-public

  • nn

    🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  • FinRL-Meta

    FinRL­-Meta: Data-Driven Metaverse for Financial Reinforcement Learning. 🔥

  • state-spaces

    Sequence Modeling with Structured State Spaces

  • text2mesh

    3D mesh stylization driven by a text input in PyTorch

  • ydata-synthetic

    Synthetic structured data generators

  • taming-transformers

    Taming Transformers for High-Resolution Image Synthesis

  • tsai

    Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

  • ml-basics

    Exercise notebooks for Machine Learning modules on Microsoft Learn

  • ml-design-patterns

    Source code accompanying O'Reilly book: Machine Learning Design Patterns

  • statsforecast

    Lightning ⚡️ fast forecasting with statistical and econometric models.

  • CLIP

    Contrastive Language-Image Pretraining

  • azureml-examples

    Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

  • codecarbon

    Track emissions from Compute and recommend ways to reduce their impact on the environment.

  • deep-rl-class

    This repo contain the syllabus of the Hugging Face Deep Reinforcement Learning Class.

  • imagenette

    A smaller subset of 10 easily classified classes from Imagenet, and a little more French

  • neuralforecast

    Scalable and user friendly neural :brain: forecasting algorithms for time series data.

  • LoFTR

    Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021


    A scikit-learn-compatible module for estimating prediction intervals.

  • poolformer

    PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)

  • awesome-notebooks

    Ready to use data science templates, organized by tools to jumpstart your projects and data products in minutes. 😎 published by the Naas community.

  • keras-io

    Keras documentation, hosted live at

  • Azure-Sentinel

    Cloud-native SIEM for intelligent security analytics for your entire enterprise.

  • AI-For-Beginners

    12 Weeks, 24 Lessons, AI for All!

  • rliable

    [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.

  • T2T-ViT

    ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

  • YOLOv6

    YOLOv6: a single-stage object detection framework dedicated to industrial applications.

  • webdataset

    A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

  • notebooks

    Jupyter notebooks for the Natural Language Processing with Transformers book

  • Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original

    Machine Learning for Algorithmic Trading, Second Edition - published by Packt

  • starter-hugo-academic

    🎓 Hugo Academic Theme 创建一个学术网站. Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify.

  • kubric

    A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.

  • Machine-Learning-for-Algorithmic-Trading-Second-Edition

    Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.

  • functorch

    functorch is JAX-like composable function transforms for PyTorch.

ABOUT: The growth percentage is calculated as the increase in the number of stars compared to the previous month. We list only projects that have at least 500 stars and a GitHub organization logo set.


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

Project Growth
1 stability-sdk 65.7%
2 InvokeAI 52.4%
3 sample-generator 50.1%
4 Mubert-Text-to-Music 48.9%
5 whisper 38.7%
6 course22 38.2%
7 stable-diffusion 28.7%
8 stable-diffusion 26.3%
9 BLIP 22.7%
10 prompt-to-prompt 21.8%
11 latent-diffusion 21.2%
12 vertex-ai-samples 16.9%
13 CoNR 13.6%
14 disco-diffusion 13.3%
15 notebooks 12.6%
16 data-engineering-zoomcamp 12.3%
17 tensorflow-1-public 12.0%
18 nn 11.9%
19 FinRL-Meta 11.8%
20 state-spaces 11.5%
21 text2mesh 11.3%
22 ydata-synthetic 10.3%
23 taming-transformers 10.1%
24 tsai 9.9%
25 ml-basics 9.6%
26 ml-design-patterns 8.9%
27 statsforecast 8.9%
28 CLIP 8.7%
29 azureml-examples 8.5%
30 codecarbon 8.4%
31 deep-rl-class 8.3%
32 imagenette 8.2%
33 neuralforecast 8.1%
34 LoFTR 7.7%
35 MAPIE 7.6%
36 poolformer 6.9%
37 awesome-notebooks 6.8%
38 keras-io 6.6%
39 Azure-Sentinel 6.6%
40 AI-For-Beginners 6.5%
41 rliable 6.3%
42 T2T-ViT 6.3%
43 YOLOv6 6.2%
44 webdataset 6.0%
45 notebooks 6.0%
46 Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original 5.8%
47 starter-hugo-academic 5.6%
48 kubric 5.3%
49 Machine-Learning-for-Algorithmic-Trading-Second-Edition 5.2%
50 functorch 5.1%