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Yundian Zeng's Projects

base_deepcdr icon base_deepcdr

Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network

base_deepttc icon base_deepttc

DeepTTC: a transformer-based model for predicting cancer drug response

bdkann icon bdkann

Biological domain knowledge based artificial neural network

biojar icon biojar

This is a java project for biological and pharmceutical analysis

bp-neural-network icon bp-neural-network

numpy实现的bp算法,代码是pytorch风格,可供pytorch入门学习,配合plotly.js获得良好的训练可视化

ccnet icon ccnet

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

ccnet-pure-pytorch icon ccnet-pure-pytorch

Criss-Cross Attention (2d&3d) for Semantic Segmentation in pure Pytorch with a faster and more precise implementation.

cissig icon cissig

The public repository including all code to recreate the analysis and figures from, "Exploiting convergent evolution to derive a pan-cancer cisplatin sensitivity gene expression signature."

cxplain icon cxplain

Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.

dgl icon dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dive-into-dl-pytorch icon dive-into-dl-pytorch

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。

ext-saladict icon ext-saladict

All-in-one professional pop-up dictionary and page translator which supports multiple search modes, page translations, new word notebook and PDF selection searching.

fewshot-can icon fewshot-can

Code of Cross Attention Network for Few-shot Classification (NeurIPS 2019).

free-programming-resources icon free-programming-resources

💎 免费的编程资源大全,持续更新!🔥 覆盖各种语言和方向(Java \ Python \ C++ \ JavaScript \ Golang \ 前端 \ 后端等)的学习路线、贴心教程、项目实战、编程书籍、面试合集、实用资源等,对程序员非常有帮助!

gdsctools icon gdsctools

Tools related to the Genomics of Drug Sensitivity in Cancer (GDSC) projects (http://www.cancerrxgene.org/ )

ign icon ign

InteractionGraphNet: a Novel and Efficient Deep Graph Representation Learning Framework for Accurate Protein-Ligand Interaction Predictions

intro_dgm icon intro_dgm

An Introduction to Deep Generative Modeling: Examples

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