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 27 Nov 2023.
» Get a weekly report « straight in your inbox. Every Friday.

Top 50 Trending Jupyter Notebook Projects

  • generative-ai-for-beginners

    12 Lessons, Get Started Building with Generative AI ๐Ÿ”— https://microsoft.github.io/generative-ai-for-beginners/

  • notebooks

  • ragas

    Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines

  • ml-course

    Open Machine Learning course

  • amazon-bedrock-workshop

    This is a workshop designed for Amazon Bedrock a foundational model service.

  • AI-For-Beginners

    12 Weeks, 24 Lessons, AI for All!

  • nixtla

    Python SDK for TimeGPT

  • trulens

    Evaluation and Tracking for LLM Experiments

  • llm-applications

    A comprehensive guide to building RAG-based LLM applications for production.

  • sqlcoder

    SoTA LLM for converting natural language questions to SQL queries

  • HEBO

    Bayesian optimisation & Reinforcement Learning library developped by Huawei Noah's Ark Lab

  • llama-recipes

    Examples and recipes for Llama 2 model

  • autogen

    Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ

  • EasyEdit

    An Easy-to-use Knowledge Editing Framework for LLMs.

  • langkit

    ๐Ÿ” LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). ๐Ÿ“š Extracts signals from prompts & responses, ensuring safety & security. ๐Ÿ›ก๏ธ Features include text quality, relevance metrics, & sentiment analysis. ๐Ÿ“Š A comprehensive tool for LLM observability. ๐Ÿ‘€

  • super-gradients

    Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

  • mediapipe

  • alpaca_eval

    An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

  • adapters

    A Unified Library for Parameter-Efficient and Modular Transfer Learning

  • Medusa

    Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads (by FasterDecoding)

  • fsrs4anki

    A modern Anki custom scheduling based on free spaced repetition scheduler algorithm

  • lm-hackers

    Hackers' Guide to Language Models

  • practical-mlops-book

    [Book-2021] Practical MLOps O'Reilly Book

  • mujoco_menagerie

    A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.

  • big_vision

    Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.

  • lida

    Automatic Generation of Visualizations and Infographics using Large Language Models

  • pyannote-audio

    Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

  • geomstats

    Computations and statistics on manifolds with geometric structures.

  • vertex-ai-samples

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

  • graph-notebook

    Library extending Jupyter notebooks to integrate with Apache TinkerPop, openCypher, and RDF SPARQL.

  • MAPIE

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

  • llama-hub

    A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain

  • openvino_notebooks

    ๐Ÿ“š Jupyter notebook tutorials for OpenVINOโ„ข

  • FinGPT

    Data-Centric FinGPT. Open-source for open finance! Revolutionize ๐Ÿ”ฅ We release the trained model on HuggingFace.

  • ZoeDepth

    Metric depth estimation from a single image

  • FinNLP

    Democratizing Internet-scale financial data.

  • Entity

    EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

  • open_clip

    An open source implementation of CLIP.

  • notebooks

    Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM. (by roboflow)

  • phoenix

    AI Observability & Evaluation - Evaluate, troubleshoot, and fine tune your LLM, CV, and NLP models in a notebook. (by Arize-ai)

  • rq-vae-transformer

    The official implementation of Autoregressive Image Generation using Residual Quantization (CVPR '22)

  • blog

    Public repo for HF blog posts (by huggingface)

  • FinRL-Tutorials

    Tutorials. Please star.

  • course22

    The fast.ai course notebooks

  • BLIP

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

  • examples

    Jupyter Notebooks to help you get hands-on with Pinecone vector databases (by pinecone-io)

  • nn

    ๐Ÿง‘โ€๐Ÿซ 60 Implementations/tutorials of deep learning papers with side-by-side notes ๐Ÿ“; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ๐ŸŽฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐Ÿง 

  • daam

    Diffusion attentive attribution maps for interpreting Stable Diffusion.

  • LAVIS

    LAVIS - A One-stop Library for Language-Vision Intelligence

  • CLIP

    CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

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.

Index

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

Project Growth
1 generative-ai-for-beginners 99.2%
2 notebooks 40.6%
3 ragas 30.5%
4 ml-course 28.5%
5 amazon-bedrock-workshop 27.4%
6 AI-For-Beginners 22.0%
7 nixtla 21.3%
8 trulens 19.9%
9 llm-applications 17.2%
10 sqlcoder 16.9%
11 HEBO 15.0%
12 llama-recipes 14.9%
13 autogen 14.9%
14 EasyEdit 12.6%
15 langkit 11.0%
16 super-gradients 10.8%
17 mediapipe 10.0%
18 alpaca_eval 9.8%
19 adapters 8.2%
20 Medusa 8.1%
21 fsrs4anki 7.8%
22 lm-hackers 7.8%
23 practical-mlops-book 7.7%
24 mujoco_menagerie 7.0%
25 big_vision 6.8%
26 lida 6.6%
27 pyannote-audio 6.3%
28 geomstats 6.3%
29 vertex-ai-samples 6.2%
30 graph-notebook 6.1%
31 MAPIE 6.1%
32 llama-hub 6.0%
33 openvino_notebooks 5.8%
34 FinGPT 5.8%
35 ZoeDepth 5.7%
36 FinNLP 5.6%
37 Entity 5.5%
38 open_clip 5.4%
39 notebooks 5.2%
40 phoenix 5.1%
41 rq-vae-transformer 5.0%
42 blog 4.9%
43 FinRL-Tutorials 4.8%
44 course22 4.7%
45 BLIP 4.5%
46 examples 4.5%
47 nn 4.4%
48 daam 4.4%
49 LAVIS 4.4%
50 CLIP 4.1%