🦜🔗 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/

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.

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!

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

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

🤖 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

100-Days-Of-ML-Code中文版

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

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

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。

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

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 filte…

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

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

This repository contains implementations and illustrative code to accompany DeepMind publications

Companion webpage to the book "Mathematics For Machine Learning"

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

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