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 29 Apr 2024.
» Get a weekly report « straight in your inbox. Every Friday.

Top 50 Trending Jupyter Notebook Projects

  • llm-colosseum

    Benchmark LLMs by fighting in Street Fighter 3! The new way to evaluate the quality of an LLM

  • cookbook

    Open-source AI cookbook (by huggingface)

  • anthropic-cookbook

    A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

  • cognee

    Deterministic LLMs Outputs for AI Applications and AI Agents

  • generative-ai-for-beginners

    18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

  • llmsherpa

    Developer APIs to Accelerate LLM Projects

  • notebooks

  • MiniCPM

    MiniCPM-2B: An end-side LLM outperforms Llama2-13B.

  • llama-recipes

    Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama3 for WhatsApp & Messenger.

  • lm-hackers

    Hackers' Guide to Language Models

  • amazon-bedrock-workshop

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

  • mediapipe

  • TradeMaster

    TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:

  • jax-cfd

    Computational Fluid Dynamics in JAX

  • phoenix

    AI Observability & Evaluation (by Arize-ai)

  • nixtla

    Python SDK for TimeGPT, a foundational time series model

  • generative-ai-docs

    Documentation for Google's Gen AI site - including the Gemini API and Gemma

  • gemma

    Open weights LLM from Google DeepMind.

  • python-training

    Python training for business analysts and traders

  • alpaca_eval

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

  • evo

    DNA foundation modeling from molecular to genome scale (by evo-design)

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

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

  • trulens

    Evaluation and Tracking for LLM Experiments

  • langsmith-cookbook

  • EasyEdit

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

  • miyagi

    Sample to envision intelligent apps with Microsoft's Copilot stack for AI-infused product experiences.

  • generative-ai

    Sample code and notebooks for Generative AI on Google Cloud, including Gemini (by GoogleCloudPlatform)

  • autogen

    A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap

  • MLOps

    MLOps examples

  • sqlcoder

    SoTA LLM for converting natural language questions to SQL queries

  • llm-applications

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

  • practical-mlops-book

    [Book-2021] Practical MLOps O'Reilly Book

  • fullcontrol

    Python version of FullControl for toolpath design (and more) - the readme below is best source of information

  • HEBO

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

  • s4

    Structured state space sequence models

  • ZoeDepth

    Metric depth estimation from a single image

  • mujoco_menagerie

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

  • vertex-ai-samples

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

  • Python-for-Finance-Cookbook

    Python for Finance Cookbook, published by Packt

  • FinRL-Tutorials

    Tutorials. Please star.

  • blog

    Public repo for HF blog posts (by huggingface)

  • Medusa

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

  • project-walkthroughs

    Data science, machine learning, and web development project code for https://www.youtube.com/c/Dataquestio .

  • fsrs4anki

    A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm

  • modeling-examples

    Gurobi modeling examples

  • nn

    🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  • big_vision

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

  • setfit

    Efficient few-shot learning with Sentence Transformers

  • pyannote-audio

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

  • hyperlearn

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

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 llm-colosseum 74.3%
2 cookbook 58.0%
3 anthropic-cookbook 52.9%
4 cognee 41.0%
5 generative-ai-for-beginners 26.8%
6 llmsherpa 13.8%
7 notebooks 13.3%
8 MiniCPM 12.5%
9 llama-recipes 12.1%
10 lm-hackers 12.0%
11 amazon-bedrock-workshop 10.6%
12 mediapipe 10.2%
13 TradeMaster 10.0%
14 jax-cfd 9.9%
15 phoenix 9.5%
16 nixtla 8.9%
17 generative-ai-docs 8.8%
18 gemma 8.6%
19 python-training 8.6%
20 alpaca_eval 8.4%
21 evo 8.3%
22 Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original 8.3%
23 trulens 7.9%
24 langsmith-cookbook 7.6%
25 EasyEdit 7.4%
26 miyagi 6.9%
27 generative-ai 6.9%
28 autogen 6.8%
29 MLOps 6.7%
30 sqlcoder 6.5%
31 llm-applications 6.3%
32 practical-mlops-book 6.1%
33 fullcontrol 5.9%
34 HEBO 5.8%
35 s4 5.8%
36 ZoeDepth 5.4%
37 mujoco_menagerie 5.4%
38 vertex-ai-samples 5.2%
39 Python-for-Finance-Cookbook 5.1%
40 FinRL-Tutorials 5.1%
41 blog 5.0%
42 Medusa 4.8%
43 project-walkthroughs 4.8%
44 fsrs4anki 4.7%
45 modeling-examples 4.5%
46 nn 4.5%
47 big_vision 4.4%
48 setfit 4.3%
49 pyannote-audio 4.3%
50 hyperlearn 4.3%