A Python toolbox for gaining geometric insights into high-dimensional data

Workshop on measuring, analyzing, and visualizing the 3D genome with Hi-C data.

Code from the Edwards lab, including bioinformatics, image analysis and more. All this code is created and maintained by folks at Rob Edwards' bioinformatics lab at Flinders University

Spatio-temporal modeling 论文列表（主要是graph convolution相关)

Must-read papers on graph neural networks (GNN)

All lecture notes, slides and assignments from CS224n: Natural Language Processing with Deep Learning class by Stanford

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

Deep Learning Resources

Deep Learning Resources

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

Tensors and Dynamic neural networks in Python with strong GPU acceleration

📖 A curated list of resources dedicated to Natural Language Processing (NLP)

One-shot learning for image classification using Siamese neural networks

Sentiment analysis on movie reviews with various models

Implementing computer vision tasks with TensorFlow

Course notes for CS224N Winter17