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2022-machine-learning-specialization

chinesemedicalqa

基于中医药知识图谱智能问答

deep-learning-with-python-notebooks

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

deeplearninglifesciences

Example code from the book "Deep Learning for the Life Sciences"

dit

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

gan

python notebooks accompanying the book Make Your Own GAN

hands-on-rl

https://hrl.boyuai.com/

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.

notebooks

Jupyter notebooks for the Natural Language Processing with Transformers book

patchtst

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

pytorch_advanced

書籍「つくりながら学ぶ! PyTorchによる発展ディープラーニング」の実装コードを配置したリポジトリです

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.

sumo

Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.