Jupyter Notebook repositories
The top 500 Jupyter Notebook repositories, ranked by stars
Last updated
| Rank | Repository | Stars |
|---|---|---|
| 351 | Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding | 4,290 |
| 352 | [ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models | 4,277 |
| 353 | Segment Anything in High Quality [NeurIPS 2023] | 4,267 |
| 354 | MongoDB's Generative AI Showcase: an exhaustive collection of examples and sample applications covering Retrieval-Augmented Generation (RAG), AI agents, and industry-specific use cases. | 4,265 |
| 355 | Text and supporting code for Think Stats, 2nd Edition | 4,246 |
| 356 | Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture. | 4,231 |
| 357 | Collection of useful data science topics along with articles, videos, and code | 4,214 |
| 358 | A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks | 4,211 |
| 359 | Everything you need to know to build your own RAG application | 4,201 |
| 360 | A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/ | 4,197 |
| 361 | Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA | 4,181 |
| 362 | Build a modern LLM from scratch. Every line commented. Explained like we are five. | 4,179 |
| 363 | 4,173 | |
| 364 | A collection of guides and examples for the Gemma open models from Google. | 4,148 |
| 365 | A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm | 4,135 |
| 366 | 标注自己的数据集，训练、评估、测试、部署自己的人工智能算法 | 4,131 |
| 367 | 4,126 | |
| 368 | OmniGen2: Exploration to Advanced Multimodal Generation. https://arxiv.org/abs/2506.18871 | 4,122 |
| 369 | Qwen3-omni is a natively end-to-end, omni-modal LLM developed by the Qwen team at Alibaba Cloud, capable of understanding text, audio, images, and video, as well as generating speech in real time. | 4,109 |
| 370 | 手把手带你实战 Huggingface Transformers 课程视频同步更新在B站与YouTube | 4,106 |
| 371 | Single Shot MultiBox Detector in TensorFlow | 4,101 |
| 372 | Qwen2.5-Omni is an end-to-end multimodal model by Qwen team at Alibaba Cloud, capable of understanding text, audio, vision, video, and performing real-time speech generation. | 4,098 |
| 373 | Repo for the Deep Learning Nanodegree Foundations program. | 4,061 |
| 374 | The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python" | 4,059 |
| 375 | Microsoft Quantum Development Kit Samples | 4,057 |
| 376 | TimeGPT-2.1: 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.... | 4,048 |
| 377 | SoTA LLM for converting natural language questions to SQL queries | 4,046 |
| 378 | Homepage for STAT 157 at UC Berkeley | 4,039 |
| 379 | Content for Udacity's Machine Learning curriculum | 4,032 |
| 380 | A simplified implemention of Faster R-CNN that replicate performance from origin paper | 4,026 |
| 380 | [CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering | 4,026 |
| 382 | Машинное обучение на ФКН ВШЭ | 4,013 |
| 383 | The Hunting ELK | 3,935 |
| 384 | Text recognition (optical character recognition) with deep learning methods, ICCV 2019 | 3,934 |
| 385 | 简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程 | 3,919 |
| 386 | This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small... | 3,906 |
| 387 | Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch | 3,901 |
| 388 | [CCS'24] A dataset consists of 15,140 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 1,405 jailbreak prompts). | 3,893 |
| 389 | Book_2_《可视之美》 | 鸢尾花书：从加减乘除到机器学习，欢迎批评指正 | 3,892 |
| 390 | Useful functions, tutorials, and other Python-related things | 3,888 |
| 391 | Notes about courses Dive into Deep Learning by Mu Li | 3,866 |
| 392 | PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/ | 3,864 |
| 393 | This is Andrew NG Coursera Handwritten Notes. | 3,851 |
| 394 | 中文nlp解决方案(大模型、数据、模型、训练、推理) | 3,843 |
| 395 | Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！ | 3,827 |
| 396 | 本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可 | 3,824 |
| 397 | Jupyter notebooks from the scikit-learn video series | 3,815 |
| 398 | Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2 | 3,809 |
| 399 | GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse... | 3,794 |
| 400 | 📈 如何用深度强化学习自动炒股 | 3,793 |
