Stars
Python - 100天从新手到大师
A latent text-to-image diffusion model
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.
Python Data Science Handbook: full text in Jupyter Notebooks
Learn how to design, develop, deploy and iterate on production-grade ML applications.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
A game theoretic approach to explain the output of any machine learning model.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
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。
PyTorch code and models for the DINOv2 self-supervised learning method.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Public facing notes page
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Code samples used on cloud.google.com
this repository accompanies the book "Grokking Deep Learning"
Data Science Using Python
Jupyter notebooks for the Natural Language Processing with Transformers book
『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)
A better notebook for Scala (and more)
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
TensorFlow Basic Tutorial Labs
Repo for the Deep Learning Nanodegree Foundations program.
Homepage for STAT 157 at UC Berkeley
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
Language-Agnostic SEntence Representations