An open source and flexible pipeline to analyze DNBelab C Series single-cell RNA datasets.

SUPPA: Fast quantification of splicing and differential splicing

Codes that I have written to complete promise12 prostate segmentation competition.

Keras implementation of Deeplab v3+ with pretrained weights

这是一个pspnet-keras的源码，可以用于训练自己的模型。

💻深度学习实战：手写数字识别、Discuz验证码识别、垃圾分类、语义分割

Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"

Single RNA-seq data analysis with R (Finland, May, 2019)

Analysis of single cell RNA-seq data course

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville