dnn
Latex code for making neural networks diagrams
High-Resolution Image Synthesis with Latent Diffusion Models
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy
An open-source, low-code machine learning library in Python
My Reading Lists of Deep Learning and Natural Language Processing
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
Spatial alignment of single cell transcriptomic data.
Hummingbird compiles trained ML models into tensor computation for faster inference.
Graph Neural Network Library for PyTorch
A practical approach to learning machine learning.
Learn how to design, develop, deploy and iterate on production-grade ML applications.