Topics / #jupyter notebook

Jupyter notebook projects on GitHub

Interactive notebook format mixing code, output, and narrative text, popular in data science.

As of , the most-starred Jupyter notebook projects on GitHub are Python-100-Days (187.3K stars), generative-ai-for-beginners (121.6K stars) and LLMs-from-scratch (106.8K stars). GitHub.Locker tracks 177 Jupyter notebook repositories with 4M stars combined. The fastest-growing on October 18 was llm-course, with +480 stars in a day.

177Projects
4MStars in total
+2KStars in a day

Hot right now

Most stars gained in a day · Oct 18

The all-time top

Top 100 of 177 · by stars

  1. #1 · jackfrued/Python-100-Days

    Python-100-Days

    A free, day-by-day Python curriculum by Luo Hao (骆昊) that takes a complete beginner through 100 days of lessons covering core language fundamentals, file and database handling, web development with Django, web scraping, data analysis, and machine learning.

    187.3K
  2. #2 · microsoft/generative-ai-for-beginners

    generative-ai-for-beginners

    A 21-lesson course by Microsoft Cloud Advocates that teaches the fundamentals of building Generative AI applications, covering concepts like prompt engineering, chat apps, RAG, fine-tuning, and AI agents.

    121.6K
  3. #3 · rasbt/LLMs-from-scratch

    LLMs-from-scratch

    This is the official code repository for the book 'Build a Large Language Model (From Scratch)', which teaches you to implement a GPT-like LLM in PyTorch step by step, from tokenization through pretraining and finetuning.

    106.8K
  1. 4

    ML-For-Beginners

    91.6Kmicrosoft/ML-For-Beginners · Jupyter Notebook

    A free 12-week, 26-lesson curriculum from Microsoft that teaches classic machine learning (not deep learning) using Scikit-learn, with each lesson tied to real-world data from different world cultures.

  2. 5

    llm-course

    84.2Kmlabonne/llm-course

    A free, open-source course for getting into Large Language Models (LLMs), combining theory roadmaps with hands-on Colab notebooks covering everything from math fundamentals to fine-tuning and deployment.

  3. 6

    d2l-zh

    81.9Kd2l-ai/d2l-zh · Python

    This is a free, open-source deep learning textbook (Dive into Deep Learning / D2L) written in Chinese, teaching math, concepts, and implementation together through runnable code; it's used as course material by over 500 universities in more than 70 countries.

  4. 7

    ai-agents-for-beginners

    77.4Kmicrosoft/ai-agents-for-beginners · Jupyter Notebook

    A free Microsoft course of 18 lessons that teaches the fundamentals of building AI agents, from basic concepts to design patterns, multi-agent systems, and production deployment.

  5. 8

    openai-cookbook

    76.7Kopenai/openai-cookbook · Jupyter Notebook

    A collection of example code and guides for accomplishing common tasks with the OpenAI API, covering things like prompting, embeddings, function calling, and retrieval.

  6. 9

    stable-diffusion

    73.5KCompVis/stable-diffusion · Jupyter Notebook

    Stable Diffusion is a latent text-to-image diffusion model that generates images from text prompts, built by CompVis with Stability AI and Runway, based on the Latent Diffusion Models work from CVPR '22.

  7. 10

    AI-For-Beginners

    70Kmicrosoft/AI-For-Beginners · Jupyter Notebook

    A free 12-week, 24-lesson curriculum from Microsoft that teaches Artificial Intelligence fundamentals through practical lessons, quizzes, and labs.

  8. 11

    serviette

    58.8Kpathwaycom/serviette · Python

    This repo provides ready-to-run cloud templates for RAG pipelines, AI pipelines, and enterprise search, built on the Pathway Live Data Framework and kept in sync with live data sources.

  9. 12

    rich

    57.6KTextualize/rich · Python

    Rich is a Python library that adds color, styling, and rich formatting to terminal output: tables, progress bars, markdown, syntax-highlighted code, and pretty tracebacks, all out of the box.

  10. 13

    dive-into-llms

    56.9KLordog/dive-into-llms · Jupyter Notebook

    It's a free Chinese-language tutorial series called 'Dive into LLMs' (《动手学大模型》) that teaches large language model concepts through hands-on coding exercises, built from Shanghai Jiao Tong University's NLP and AI-security course materials.

  11. 14

    segment-anything

    55Kfacebookresearch/segment-anything · Jupyter Notebook

    This is Meta AI's Segment Anything Model (SAM), a foundation model that produces object masks for images from prompts like points or boxes, or automatically generates masks for every object in an image.

  12. 15

    claude-cookbooks

    53.6Kanthropics/claude-cookbooks · Jupyter Notebook

    Anthropic's collection of notebooks and recipes showing fun and effective ways of using Claude, with copy-able code snippets you can drop straight into your own projects.

  13. 16

    PythonDataScienceHandbook

    50.2Kjakevdp/PythonDataScienceHandbook · Jupyter Notebook

    This is the full text of the Python Data Science Handbook, provided as a set of free Jupyter notebooks covering the core Python data science stack.

  14. 17

    Made-With-ML

    49.8KGokuMohandas/Made-With-ML · Jupyter Notebook

    Made-With-ML is a free hands-on course that teaches how to design, develop, deploy, and iterate on production-grade machine learning applications, combining ML with software engineering best practices.

  15. 18

    data-engineering-zoomcamp

    46.3KDataTalksClub/data-engineering-zoomcamp · Jupyter Notebook

    This is 'Data Engineering Zoomcamp', a free 9-week course that teaches the fundamentals of data engineering by building an end-to-end data pipeline from scratch.

  16. 19

    data-engineer-handbook

    44.5KDataExpert-io/data-engineer-handbook · Jupyter Notebook

    A curated handbook of links and resources for learning data engineering: roadmaps, bootcamp materials, books, communities, company tooling lists, blogs, whitepapers, and a directory of data engineering content creators.

  17. 20

    TensorFlow-Examples

    43.7Kaymericdamien/TensorFlow-Examples · Jupyter Notebook

    A hands-on tutorial collection that teaches TensorFlow through runnable examples, from a hello world notebook up to deep neural networks and GANs.

  18. 21

    airllm

    39.4Klyogavin/airllm · Jupyter Notebook

    An open-source Python library that runs huge LLMs on tiny GPUs: a 70B model fits on a single 4GB card without quantization, distillation or pruning — even the 2.8T-parameter Kimi K3 runs in under 4GB.

  19. 22

    bark

    39.3Ksuno-ai/bark · Jupyter Notebook

    Bark is a transformer-based text-to-audio model from Suno that generates realistic, multilingual speech plus music, background noise, and sound effects from text prompts.

  20. 23

    google-research

    39Kgoogle-research/google-research · Jupyter Notebook

    A giant monorepo where Google Research dumps the code released alongside its papers and projects - hundreds of independent folders covering different research efforts, not one cohesive product.

  21. 24

    prompt-eng-interactive-tutorial

    38.6Kanthropics/prompt-eng-interactive-tutorial · Jupyter Notebook

    This is Anthropic's official interactive tutorial for learning prompt engineering with Claude, teaching how to write effective prompts through lessons and hands-on exercises.

  22. 25

    ai-engineering-hub

    38.4Kpatchy631/ai-engineering-hub · Jupyter Notebook

    A curated collection of 93+ tutorials and real-world project implementations covering LLMs, RAG systems, and AI agents, organized by difficulty level.

  23. 26

    Data-Science-For-Beginners

    37.6Kmicrosoft/Data-Science-For-Beginners · Jupyter Notebook

    A free 10-week, 20-lesson data science curriculum from Microsoft's Azure Cloud Advocates, built to take complete beginners from core concepts all the way to real-world projects.

  24. 27

    CLIP

    34.5Kopenai/CLIP · Jupyter Notebook

    CLIP is a neural network trained on many (image, text) pairs: given an image, it predicts the most relevant text snippet in natural language, zero-shot, without directly optimizing for the task.

  25. 28

    happy-llm

    34.4Kdatawhalechina/happy-llm · Jupyter Notebook

    Happy-LLM is Datawhale's free open-source LLM course: a systematic tutorial that goes from NLP basics and the Transformer architecture to building and training your first large language model, then applying it with RAG and agents.

  26. 29

    self-llm

    32.5Kdatawhalechina/self-llm · Jupyter Notebook

    Self-llm is a Chinese-language tutorial collection that teaches beginners how to configure environments, deploy, and fine-tune (full-parameter or LoRA) 50+ open-source large language models and multimodal models on Linux.

  27. 30

    handson-ml2

    29.9Kageron/handson-ml2 · Jupyter Notebook

    This is a collection of Jupyter notebooks with the example code and exercise solutions for the second edition of the O'Reilly book 'Hands-On Machine Learning with Scikit-Learn, Keras and TensorFlow'.

  28. 31

    RAG_Techniques

    29.9KNirDiamant/RAG_Techniques · Jupyter Notebook

    A community-driven hub of advanced techniques for Retrieval-Augmented Generation (RAG) — grounding LLM answers in retrieved documents, distilled into runnable notebook tutorials.

  29. 32

    Complete-Python-3-Bootcamp

    29.8KPierian-Data/Complete-Python-3-Bootcamp · Jupyter Notebook

    This repo holds the Jupyter Notebook course files that accompany the paid 'Complete Python 3 Bootcamp' course on Udemy, covering Python 3 basics through hands-on exercises.

  30. 33

    h4cker

    29.8KThe-Art-of-Hacking/h4cker · Jupyter Notebook

    A curated collection of thousands of cybersecurity resources — references, scripts, tools, code, labs, and training material — maintained by Omar Santos as a companion to his books, video courses, and live training.

  31. 34

    Hands-On-Large-Language-Models

    29.8KHandsOnLLM/Hands-On-Large-Language-Models · Jupyter Notebook

    The official code repo for the O'Reilly book 'Hands-On Large Language Models', known as the Illustrated LLM Book. It contains a Jupyter notebook for each of the book's 12 chapters.

  32. 35

    fastai

    28.2Kfastai/fastai · Jupyter Notebook

    It's a deep learning library: high-level components that reach state-of-the-art results quickly in standard domains, plus low-level pieces researchers can mix and match to build new approaches.

  33. 36

    Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

    28.2KCamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers · Jupyter Notebook

    An open-source introductory book, Bayesian Methods for Hackers, that teaches Bayesian inference and probabilistic programming in pure Python with PyMC, built around runnable Jupyter notebook chapters.

  34. 37

    shap

    25.8Kshap/shap · Jupyter Notebook

    SHAP is a Python library that explains the output of any machine learning model using Shapley values from game theory — it tells you how much each feature contributed to a given prediction.

  35. 38

    handson-ml

    25.6Kageron/handson-ml · Jupyter Notebook

    Jupyter notebooks that teach Machine Learning fundamentals in Python: the example code and exercise solutions for the first edition of the O'Reilly book 'Hands-on Machine Learning with Scikit-Learn and TensorFlow'.

  36. 39

    OmniParser

    25.5Kmicrosoft/OmniParser · Jupyter Notebook

    OmniParser parses GUI screenshots into structured, labeled elements (icons, text, interactable regions) so a vision model like GPT-4V can accurately decide what to click or type on a screen.

  37. 40

    fastbook

    25.4Kfastai/fastbook · Jupyter Notebook

    This repo contains the official Jupyter Notebooks for 'the fastai book', an introduction to deep learning, the fastai library, and PyTorch.

  38. 41

    pydata-book

    25Kwesm/pydata-book · Jupyter Notebook

    This is the companion repository of Jupyter notebooks and materials for the book 'Python for Data Analysis' by Wes McKinney, covering pandas, NumPy, and data analysis techniques.

  39. 42

    nn-zero-to-hero

    24.9Kkarpathy/nn-zero-to-hero · Jupyter Notebook

    A course by Andrej Karpathy that teaches neural networks from the absolute basics, built around a series of YouTube lectures with accompanying Jupyter notebooks coded live in the videos.

  40. 43

    homemade-machine-learning

    24.8Ktrekhleb/homemade-machine-learning · Jupyter Notebook

    A collection of popular machine learning algorithms implemented from scratch in Python, each paired with an interactive Jupyter Notebook demo and an explanation of the math behind it.

  41. 44

    llm-cookbook

    24.8Kdatawhalechina/llm-cookbook · Jupyter Notebook

    A developer-oriented LLM starter handbook: a Chinese adaptation of Andrew Ng's LLM course series, translated and re-run for Chinese developers, covering prompt engineering through RAG development and model fine-tuning.

  42. 45

    GenAI_Agents

    24.6KNirDiamant/GenAI_Agents · Jupyter Notebook

    A collection of 50+ tutorials and implementations of Generative AI agent techniques, from basic conversational bots to complex multi-agent systems, packaged as hands-on Python notebooks.

  43. 46

    pytudes

    24.4Knorvig/pytudes · Jupyter Notebook

    Pytudes is Peter Norvig's personal collection of short, deliberately difficult Python programs and Jupyter notebooks, each written to perfect one specific programming skill, in the spirit of a musical étude.

  44. 47

    CV

    24.1KAccumulateMore/CV · Jupyter Notebook

    A comprehensive collection of Chinese-language deep learning study notes covering PyTorch, classic deep learning courses, and LLM agents — written to accompany well-known video courses.

  45. 48

    audiocraft

    23.7Kfacebookresearch/audiocraft · Jupyter Notebook

    AudioCraft is a PyTorch library for deep learning research on audio generation, built around generative models like MusicGen (text-to-music) and AudioGen (text-to-sound), plus the EnCodec neural audio codec.

  46. 49

    learnopencv

    23.2Kspmallick/learnopencv · Jupyter Notebook

    This is the companion code repository for the LearnOpenCV.com blog, containing C++ and Python examples that accompany articles on computer vision, deep learning, and AI research.

  47. 50

    courses

    22.9Kanthropics/courses · Jupyter Notebook

    Anthropic's official set of educational courses on working with Claude: five hands-on courses covering API essentials, prompt engineering, real world prompting, prompt evaluations, and tool use.

  48. 51

    reinforcement-learning

    22.2Kdennybritz/reinforcement-learning · Jupyter Notebook

    A collection of Reinforcement Learning algorithm implementations, exercises, and solutions meant to accompany Sutton's 'Reinforcement Learning: An Introduction' textbook and David Silver's RL course.

  49. 52

    guidance

    21.8Kguidance-ai/guidance · Jupyter Notebook

    Guidance is a Python library — an efficient programming paradigm for steering large language models: you control how output is structured while reducing latency and cost compared with conventional prompting or fine-tuning.

  50. 53

    pytorch-handbook

    21.7Kzergtant/pytorch-handbook · Jupyter Notebook

    An open-source Chinese-language book that teaches PyTorch for deep learning, written as a set of Jupyter notebooks whose code has all been tested to actually run.

  51. 54

    agents-towards-production

    21.7KNirDiamant/agents-towards-production · Jupyter Notebook

    It's an open-source collection of 28+ code-first, hands-on tutorials for taking GenAI agents from a prototype to a production-ready product, covering orchestration, memory, observability, deployment, and security.

  52. 55

    Anime4K

    21.5Kbloc97/Anime4K · Jupyter Notebook

    Anime4K is a set of open-source, real-time upscaling and denoising algorithms, implemented as GLSL shaders, that sharpen and upscale anime video on the fly inside your media player instead of permanently re-encoding the file.

  53. 56

    machine-learning-for-trading

    21.5Kstefan-jansen/machine-learning-for-trading · Jupyter Notebook

    The code repository for Machine Learning for Trading, 3rd Edition by Stefan Jansen: an end-to-end workflow for building, testing, and deploying ML-driven trading strategies, from data sourcing to live execution.

  54. 57

    FinGPT

    21.4KAI4Finance-Foundation/FinGPT · Jupyter Notebook

    FinGPT is AI4Finance Foundation's open-source project for financial large language models: trained models are released on HuggingFace, with code for RAG, fine-tuning pipelines and benchmarks built around them.

  55. 58

    deep-learning-with-python-notebooks

    20.3Kfchollet/deep-learning-with-python-notebooks · Jupyter Notebook

    Companion Jupyter notebooks for the book 'Deep Learning with Python' by Francois Chollet (and Matthew Watson for the 3rd edition, 2025), implementing all its code samples, plus legacy notebooks for the 2nd edition (2021) and 1st edition (2017).

  56. 59

    Qwen3-VL

    20.1KQwenLM/Qwen3-VL · Jupyter Notebook

    Qwen3-VL is a family of multimodal vision-language models built by the Qwen team at Alibaba Cloud, combining strong text understanding with deep visual perception, reasoning, and agent capabilities.

  57. 60

    sam2

    20Kfacebookresearch/sam2 · Jupyter Notebook

    SAM 2 (Segment Anything Model 2) is Meta's foundation model for promptable segmentation of objects in both images and videos, extending the original Segment Anything Model with a streaming memory architecture for real-time video tracking.

  58. 61

    lihang-code

    19.6Kfengdu78/lihang-code · Jupyter Notebook

    A collection of Jupyter Notebook code implementations for every algorithm covered in Li Hang's book 'Statistical Learning Methods' (《统计学习方法》, 2nd edition), organized chapter by chapter.

  59. 62

    Dive-into-DL-PyTorch

    19.5KShusenTang/Dive-into-DL-PyTorch · Jupyter Notebook

    The Chinese book 'Dive into Deep Learning' with its MXNet code examples rewritten in PyTorch — a free, open-source deep-learning tutorial pairing runnable Jupyter notebooks with online docs.

  60. 63

    Kalman-and-Bayesian-Filters-in-Python

    19.4Krlabbe/Kalman-and-Bayesian-Filters-in-Python · Jupyter Notebook

    An interactive book that teaches Kalman and Bayesian filters (Kalman, extended Kalman, unscented Kalman, particle filters) using Python and Jupyter Notebook, focused on intuition rather than formal proofs.

  61. 64

    pytorch-deep-learning

    19.2Kmrdbourke/pytorch-deep-learning · Jupyter Notebook

    Free course materials for the Zero to Mastery Learn PyTorch for Deep Learning course — a hands-on, code-first introduction to deep learning. The author jokes it's the second best place to learn PyTorch on the internet, after the official docs.

  62. 65

    abu

    19Kbbfamily/abu · Python

    This is 'abu' (阿布量化), an open-source Python framework for building, backtesting and running quantitative trading strategies across US/A-share/HK stocks, futures, options and cryptocurrencies like Bitcoin, using machine learning to optimize the strategies.

  63. 66

    alpaca-lora

    18.9Ktloen/alpaca-lora · Jupyter Notebook

    Alpaca-LoRA reproduces the Stanford Alpaca results by instruct-tuning LLaMA with low-rank adaptation (LoRA). It ships the training code, inference scripts, and the resulting LoRA weights, producing an Instruct model of similar quality to text-davinci-003.

  64. 67

    Qbot

    18.7KUFund-Me/Qbot · Jupyter Notebook

    Qbot is a free, AI-oriented quantitative investment research platform that covers the whole loop: data acquisition, strategy development, backtesting, simulated trading, and live trading.

  65. 68

    llama-cookbook

    18.6Kmeta-llama/llama-cookbook · Jupyter Notebook

    The Llama Cookbook — Meta's official collection of recipes for building with the Llama model family: inference, fine-tuning, RAG and end-to-end use cases, mostly written as Jupyter notebooks.

  66. 69

    DeOldify

    18.5Kjantic/DeOldify · Python

    DeOldify is a deep learning project that colorizes and restores old black and white photos and videos. You give it a grayscale image or clip and it returns a colorized version.

  67. 70

    gemini-fullstack-langgraph-quickstart

    18.3Kgoogle-gemini/gemini-fullstack-langgraph-quickstart · Jupyter Notebook

    Google's fullstack quickstart for building research agents: a React frontend over a LangGraph backend powered by Gemini, which searches the web, reflects on gaps and returns answers with citations.

  68. 71

    awesome-python-applications

    18.1Kmahmoud/awesome-python-applications · Jupyter Notebook

    A curated catalog of 426 free, open-source Python applications, arranged by topic with links to each app's repo, homepage, and docs — case studies in successfully shipping Python software.

  69. 72

    AISystem

    18KInfrasys-AI/AISystem · Jupyter Notebook

    AISystem (AISys) is an open-source course covering the full AI stack: AI chip architecture, AI compilers, inference systems/engines, and training framework internals.

  70. 73

    micrograd

    18Kkarpathy/micrograd · Jupyter Notebook

    Micrograd is a tiny scalar-valued autograd engine that implements backpropagation (reverse-mode autodiff) over a dynamically built DAG, plus a small neural network library on top with a PyTorch-like API.

  71. 74

    aie-book

    17.9Kchiphuyen/aie-book · Jupyter Notebook

    The companion repo for Chip Huyen's book 'AI Engineering' (2025) and a collection of resources for AI engineers: chapter summaries, study notes, prompt examples, case studies. It's a work in progress and keeps growing.

  72. 75

    cookbook

    17.8Kgoogle-gemini/cookbook · Jupyter Notebook

    Google's official cookbook for the Gemini API: a structured learning path of hands-on tutorials, practical examples, and links to end-to-end demo apps, published as an open-source notebook collection.

  73. 76

    DeepLearning

    17.8KMikoto10032/DeepLearning · Jupyter Notebook

    A Chinese-language deep learning tutorial — a huge curated collection of links to courses, books, lecture notes, surveys and code, taking you from math basics through CNNs, GANs, RNNs and GNNs to Kaggle practice and interview prep.

  74. 77

    ML-NLP

    17.8KNLP-LOVE/ML-NLP · Jupyter Notebook

    A curated, structured collection of machine learning, deep learning, and NLP interview knowledge points with accompanying code implementations, organized chapter by chapter (linear regression through BERT and XLNet).

  75. 78

    generative-ai

    17.8KGoogleCloudPlatform/generative-ai · Jupyter Notebook

    A collection of notebooks, code samples and sample apps for building generative AI on Google Cloud with Gemini and its Agent Platform, the evolution of Vertex AI.

  76. 79

    the-craft-of-selfteaching

    17.8Kxiaolai/the-craft-of-selfteaching · Jupyter Notebook

    'The Craft of Self-Teaching' (自学是门手艺) is a free Chinese-language ebook by Li Xiaolai that uses learning to code as the entry point for building the broader skill of self-teaching.

  77. 80

    Grounded-Segment-Anything

    17.8KIDEA-Research/Grounded-Segment-Anything · Jupyter Notebook

    Grounded SAM, a research demo project that combines Grounding DINO with Segment Anything to detect and segment any object in an image from a plain text prompt, extended with Stable Diffusion, RAM, Whisper and more.

  78. 81

    deeplearning-models

    17.6Krasbt/deeplearning-models · Jupyter Notebook

    A large collection of Jupyter Notebooks implementing various deep learning architectures, models, and training tips for TensorFlow and PyTorch.

  79. 82

    mcp-for-beginners

    17.5Kmicrosoft/mcp-for-beginners · Jupyter Notebook

    This is a free, open-source curriculum from Microsoft that teaches the Model Context Protocol (MCP) — the standard that lets AI models connect to tools and services — through hands-on code examples in C#, Java, TypeScript, JavaScript, Rust, and Python.

  80. 83

    data

    17.5Kfivethirtyeight/data · Jupyter Notebook

    This is the public repository of data sets and code behind the articles, graphics, and interactive features published by the journalism outlet FiveThirtyEight.

  81. 84

    IoT-For-Beginners

    17.2Kmicrosoft/IoT-For-Beginners · Jupyter Notebook

    A free, open-source 12-week curriculum of 24 lessons on IoT basics from Microsoft's Azure Cloud Advocates, taught through hands-on projects.

  82. 85

    leedl-tutorial

    16.8Kdatawhalechina/leedl-tutorial · Jupyter Notebook

    A free Chinese-language deep learning tutorial (nicknamed the 'Apple Book') based on Prof. Li Hongyi's (Hung-yi Lee) 'Machine Learning' course, covering most major deep learning topics in detail.

  83. 86

    FinRL

    16.7KAI4Finance-Foundation/FinRL · Jupyter Notebook

    FinRL is the original open-source framework for financial reinforcement learning, letting you train deep RL agents (A2C, DDPG, PPO, TD3, SAC) to trade stocks and other assets. It's built around a train-test-trade pipeline split into market environments, DRL agents, and financial applications.

  84. 87

    digital_video_introduction

    16.4Kleandromoreira/digital_video_introduction · Jupyter Notebook

    A free, hands-on guide that teaches digital video concepts in plain language: how images and color work, how video compression and codecs (H.264, H.265, VP9, AV1) function, and how online streaming works.

  85. 88

    pykan

    16.3KKindXiaoming/pykan · Jupyter Notebook

    A Python implementation of Kolmogorov-Arnold Networks (KANs), a promising alternative to MLPs, released with the papers 'KAN: Kolmogorov-Arnold Networks' and 'KAN 2.0'.

  86. 89

    TensorFlow-Course

    16.3Kinstillai/TensorFlow-Course · Jupyter Notebook

    A curated collection of simple, ready-to-use TensorFlow tutorials, covering topics from basic tensors and automatic differentiation to CNNs, custom training loops, and TFRecords.

  87. 90

    mml-book.github.io

    16.1Kmml-book/mml-book.github.io · Jupyter Notebook

    This is the companion website for the book 'Mathematics For Machine Learning', providing exercises and Jupyter notebooks that go along with the book's chapters.

  88. 91

    stable-diffusion-webui-colab

    15.9Kcamenduru/stable-diffusion-webui-colab · Jupyter Notebook

    A set of ready-made Google Colab notebooks that install and run the Stable Diffusion WebUI in the cloud — one notebook per popular model, from SD 1.5 to waifu-diffusion and style fine-tunes.

  89. 92

    StableLM

    15.7KStability-AI/StableLM · Jupyter Notebook

    StableLM is Stability AI's family of open-source language models, including the StableLM-3B-4E1T model, StableLM-Alpha v1/v2 base and tuned models, and StableVicuna, an RLHF-tuned chatbot built on Vicuna-13B.

  90. 93

    mlops-zoomcamp

    15.4KDataTalksClub/mlops-zoomcamp · Jupyter Notebook

    A free 9-week course from DataTalks.Club that teaches MLOps fundamentals — productionizing machine learning services, from training and experimentation to deployment and monitoring.

  91. 94

    deepmind-research

    15.2Kgoogle-deepmind/deepmind-research · Jupyter Notebook

    It is Google DeepMind's research repository: implementations and illustrative code that accompany its published papers, released alongside open-source environments and datasets the community can build on.

  92. 95

    llama3-from-scratch

    15.2Knaklecha/llama3-from-scratch · Jupyter Notebook

    A Jupyter notebook that implements Llama3 entirely from scratch, building up every matrix multiplication by hand instead of calling pre-built transformer modules.

  93. 96

    vosk-api

    15.2Kalphacep/vosk-api · Jupyter Notebook

    Vosk is an offline, open-source speech recognition toolkit that transcribes speech to text in over 20 languages and dialects, running entirely on-device without needing an internet connection.

  94. 97

    first-order-model

    15KAliaksandrSiarohin/first-order-model · Jupyter Notebook

    This is the official source code for the 'First Order Motion Model for Image Animation' paper: it animates a static source image by transferring motion from a driving video, using self-learned keypoints instead of manual annotations.

  95. 98

    Virgilio

    15Kvirgili0/Virgilio · Jupyter Notebook

    A free, open-source initiative that mentors anyone into Data Science: instead of drowning in a chaotic jungle of tutorials, you follow structured learning paths it has put together.

  96. 99

    nlp-tutorial

    14.9Kgraykode/nlp-tutorial · Jupyter Notebook

    A collection of short PyTorch implementations covering core NLP and deep learning models, from word embeddings to Transformers and BERT, meant as a study resource.

  97. 100

    tortoise-tts

    14.9Kneonbjb/tortoise-tts · Jupyter Notebook

    Tortoise is a text-to-speech system built with an emphasis on quality: strong multi-voice capabilities and highly realistic prosody and intonation. This repo contains everything needed to run it in inference mode.

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