Top starred Jupyter Notebook repos

🦜🔗 Build context-aware reasoning applications

A latent text-to-image diffusion model

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

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.

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

Python Data Science Handbook: full text in Jupyter Notebooks

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

🔊 Text-Prompted Generative Audio Model

Google Research

12 Weeks, 24 Lessons, AI for All!

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

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.

10 Weeks, 20 Lessons, Data Science for All!

Course Files for Complete Python 3 Bootcamp Course on Udemy

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 ;)

The fastai deep learning library

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

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

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

Free Data Engineering course!

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

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

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

The fastai book, published as Jupyter Notebooks

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

Instruct-tune LLaMA on consumer hardware

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

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

stable diffusion webui colab

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

Kolmogorov Arnold Networks

Natural Language Processing Tutorial for Deep Learning Researchers

Your new Mentor for Data Science E-Learning.

深度学习入门教程, 优秀文章, Deep Learning Tutorial

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

This repository contains implementations and illustrative code to accompany DeepMind publications

Companion webpage to the book "Mathematics For Machine Learning"

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

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

《Python Cookbook》 3rd Edition Translation

《李宏毅深度学习教程》（李宏毅老师推荐👍），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

High-Resolution Image Synthesis with Latent Diffusion Models

Public facing notes page

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接