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 20 May 2024.
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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.

  • tarsier

    Vision utilities for web interaction agents 👀

  • 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/

  • nixtla

    TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

  • llmsherpa

    Developer APIs to Accelerate LLM Projects

  • 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.

  • jax-cfd

    Computational Fluid Dynamics in JAX

  • big_vision

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

  • notebooks

  • MiniCPM

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

  • mlops-zoomcamp

    Free MLOps course from DataTalks.Club

  • amazon-bedrock-workshop

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

  • phoenix

    AI Observability & Evaluation (by Arize-ai)

  • lm-hackers

    Hackers' Guide to Language Models

  • TradeMaster

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

  • generative-ai-docs

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

  • mediapipe-samples

  • alpaca_eval

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

  • langsmith-cookbook

  • gemma

    Open weights LLM from Google DeepMind.

  • trulens

    Evaluation and Tracking for LLM Experiments

  • EasyEdit

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

  • evo

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

  • 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, with Gemini on Vertex AI

  • python-training

    Python training for business analysts and traders

  • autogen

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

  • gs-quant

    Python toolkit for quantitative finance

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

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

  • sqlcoder

    SoTA LLM for converting natural language questions to SQL queries

  • hamilton

    Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.

  • fullcontrol

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

  • llm-applications

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

  • MLOps

    MLOps examples

  • 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

  • ZoeDepth

    Metric depth estimation from a single image

  • s4

    Structured state space sequence models

  • HEBO

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

  • practical-mlops-book

    [Book-2021] Practical MLOps O'Reilly Book

  • Medusa

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

  • blog

    Public repo for HF blog posts (by huggingface)

  • pyannote-audio

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

  • FinRL-Tutorials

    Tutorials. Please star.

  • project-walkthroughs

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

  • modeling-examples

    Gurobi modeling examples

  • ontogpt

    LLM-based ontological extraction tools, including SPIRES

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 74.7%
2 cookbook 58.8%
3 anthropic-cookbook 55.8%
4 tarsier 53.4%
5 cognee 42.9%
6 generative-ai-for-beginners 28.1%
7 nixtla 19.4%
8 llmsherpa 18.1%
9 llama-recipes 17.1%
10 jax-cfd 14.7%
11 big_vision 14.6%
12 notebooks 14.5%
13 MiniCPM 13.9%
14 mlops-zoomcamp 13.7%
15 amazon-bedrock-workshop 13.2%
16 phoenix 13.2%
17 lm-hackers 12.7%
18 TradeMaster 12.6%
19 generative-ai-docs 12.5%
20 mediapipe-samples 12.1%
21 alpaca_eval 12.0%
22 langsmith-cookbook 10.5%
23 gemma 10.1%
24 trulens 10.1%
25 EasyEdit 9.9%
26 evo 9.8%
27 miyagi 9.6%
28 generative-ai 9.6%
29 python-training 9.0%
30 autogen 8.8%
31 gs-quant 8.8%
32 Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original 8.3%
33 sqlcoder 8.0%
34 hamilton 7.8%
35 fullcontrol 7.7%
36 llm-applications 7.6%
37 MLOps 7.5%
38 mujoco_menagerie 7.4%
39 vertex-ai-samples 6.9%
40 ZoeDepth 6.9%
41 s4 6.7%
42 HEBO 6.4%
43 practical-mlops-book 6.1%
44 Medusa 6.1%
45 blog 6.1%
46 pyannote-audio 6.0%
47 FinRL-Tutorials 6.0%
48 project-walkthroughs 6.0%
49 modeling-examples 5.9%
50 ontogpt 5.8%