Discover the top trending Jupyter Notebook repositories and projects on Github. Explore the latest trends in Jupyter Notebook development.

Trending Repositories

1

stable-diffusion

A latent text-to-image diffusion model
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2

TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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3

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
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4

google-research

Google Research
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5

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

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
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6

fastai

The fastai deep learning library
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7

Made-With-ML

Learn how to responsibly develop, deploy and maintain production machine learning applications.
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8

pytudes

Python programs, usually short, of considerable difficulty, to perfect particular skills.
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9

PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks
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10

shap

A game theoretic approach to explain the output of any machine learning model.
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11

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
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12

digital_video_introduction

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
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13

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
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14

Anime4K

A High-Quality Real Time Upscaler for Anime Video
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15

alpaca-lora

Instruct-tune LLaMA on consumer hardware
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16

handson-ml

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
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17

guidance

A guidance language for controlling large language models.
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18

StableLM

StableLM: Stability AI Language Models
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19

annotated_deep_learning_paper_implementations

🧑‍🏫 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, ... 🧠
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20

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
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21

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
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22

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
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23

fastbook

The fastai book, published as Jupyter Notebooks
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24

autogen

A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
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25

data

Data and code behind the articles and graphics at FiveThirtyEight
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26

first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation
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27

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
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28

deeplearning-models

A collection of various deep learning architectures, models, and tips
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29

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications
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30

notebook

Jupyter Interactive Notebook
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31

learnopencv

Learn OpenCV : C++ and Python Examples
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32

prettymaps

A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
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33

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"
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34

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource
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35

TensorFlow-Course

📡 Simple and ready-to-use tutorials for TensorFlow
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36

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
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37

everyone-can-use-english

人人都能用英语
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38

deep-image-prior

Image restoration with neural networks but without learning.
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39

community

Kubernetes community content
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40

Grounded-Segment-Anything

Grounded-SAM: Marrying Grounding-DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
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41

100-Days-Of-ML-Code

100-Days-Of-ML-Code中文版
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42

AI-For-Beginners

12 Weeks, 24 Lessons, AI for All!
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43

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models
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44

DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
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45

nerf

Code release for NeRF (Neural Radiance Fields)
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46

open_clip

An open source implementation of CLIP.
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47

PRML

PRML algorithms implemented in Python
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48

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
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49

TTS

🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
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50

tortoise-tts

A multi-voice TTS system trained with an emphasis on quality
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51

facets

Visualizations for machine learning datasets
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52

swift

Swift for TensorFlow
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53

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"
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54

tsfresh

Automatic extraction of relevant features from time series:
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55

cs231n.github.io

Public facing notes page
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56

DensePose

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
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57

qlora

QLoRA: Efficient Finetuning of Quantized LLMs
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58

TensorFlow-Tutorials

TensorFlow Tutorials with YouTube Videos
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59

awesome-python-applications

💿 Free software that works great, and also happens to be open-source Python.
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60

LAVIS

LAVIS - A One-stop Library for Language-Vision Intelligence
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61

skorch

A scikit-learn compatible neural network library that wraps PyTorch
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62

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers
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63

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
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64

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.
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65

LLMs-from-scratch

Implementing ChatGPT-like LLMs from scratch, step by step
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66

h4cker

This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), artificial intelligence security, vulnerability research, exploit development, reverse engineering, and more.
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67

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
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68

wtfpython-cn

wtfpython的中文翻译/施工结束/ 能力有限,欢迎帮我改进翻译
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69

neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU
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70

pytorch-handbook

pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
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71

computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.
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72

vision_transformer

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73

lihang-code

《统计学习方法》的代码实现
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74

TensorFlow-Tutorials

Simple tutorials using Google's TensorFlow Framework
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75

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both
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76

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
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77

the-craft-of-selfteaching

One has no future if one couldn't teach themself.
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78

Data-Science-For-Beginners

10 Weeks, 20 Lessons, Data Science for All!
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79

mujoco

Multi-Joint dynamics with Contact. A general purpose physics simulator.
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80

tensorflow_tutorials

From the basics to slightly more interesting applications of Tensorflow
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81

Dreambooth-Stable-Diffusion

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
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82

seamless_communication

Foundational Models for State-of-the-Art Speech and Text Translation
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83

models

A collection of pre-trained, state-of-the-art models in the ONNX format
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84

vosk-api

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
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85

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.
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86

Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
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87

Virgilio

Your new Mentor for Data Science E-Learning.
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88

python3-cookbook

《Python Cookbook》 3rd Edition Translation
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89

lucid

A collection of infrastructure and tools for research in neural network interpretability.
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90

lama

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
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91

llama-recipes

Scripts for fine-tuning Llama2 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization & question answering. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment.Demo apps to showcase Llama2 for WhatsApp & Messenger
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92

ayu

🎨🖌 Modern Sublime Text theme
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93

stable-diffusion-webui-colab

stable diffusion webui colab
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94

taming-transformers

Taming Transformers for High-Resolution Image Synthesis
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95

tutorials

PyTorch tutorials.
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96

self-driving-car

The Udacity open source self-driving car project
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97

lora

Using Low-rank adaptation to quickly fine-tune diffusion models.
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98

quietnet

Simple chat program that communicates using inaudible sounds
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99

practical-pytorch

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
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100

nn-zero-to-hero

Neural Networks: Zero to Hero
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