🦜🔗 Build context-aware reasoning applications

Python Data Science Handbook: full text in Jupyter Notebooks

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.

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

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

stable diffusion webui colab

llama3 implementation one matrix multiplication at a time

Companion webpage to the book "Mathematics For Machine Learning"

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

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

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.

A series of large language models trained from scratch by developers @01-ai

Deep Learning Specialization by Andrew Ng on Coursera.

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

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

An annotated implementation of the Transformer paper.

Data Science Using Python

Book about interpretable machine learning

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

Jupyter notebooks for the Natural Language Processing with Transformers book

Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.

Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focuse…

Code repository for O'Reilly book

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

Adapted from https://note.com/kohya_ss/n/nbf7ce8d80f29 for easier cloning

AG2 (formerly AutoGen): The Open-Source AgentOS. Join us at: https://discord.gg/pAbnFJrkgZ

The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018