Pinned Repositories
BionoiNet
Pytorch implementation of BionoiNet, which is a deep learning-based software to classify ligand-binding sites.
Graphsite
Generate graph representations of protein binding sites.
Graphsite-classifier
Ligand-binding site classification with deep graph neural networks.
kaggle-cats-and-dogs-cnn
Train ResNet18 CNN to perform binary classification on the cats-and-dogs dataset from Kaggle.
Molecule-RNN
A recurrent neural network (RNN) that generates drug-like molecules for drug discovery.
Pocket2Drug
Pytorch implementation of Pocket2Drug: a generative deep learning model to predict binding drugs for ligand-binding sites.
Python-leetcode
Python cheat sheet for daily work and coding interveiws
YelpCamp
A Yelp-style web APP where users can create and write reviews about the campsites in the US.
shiwentao00's Repositories
shiwentao00/Python-leetcode
Python cheat sheet for daily work and coding interveiws
shiwentao00/Pocket2Drug
Pytorch implementation of Pocket2Drug: a generative deep learning model to predict binding drugs for ligand-binding sites.
shiwentao00/Molecule-RNN
A recurrent neural network (RNN) that generates drug-like molecules for drug discovery.
shiwentao00/Graphsite
Generate graph representations of protein binding sites.
shiwentao00/Graphsite-classifier
Ligand-binding site classification with deep graph neural networks.
shiwentao00/kaggle-cats-and-dogs-cnn
Train ResNet18 CNN to perform binary classification on the cats-and-dogs dataset from Kaggle.
shiwentao00/YelpCamp
A Yelp-style web APP where users can create and write reviews about the campsites in the US.
shiwentao00/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
shiwentao00/BionoiNet
BionoiNet is a deep learning-based software to classify ligand-binding sites.
shiwentao00/books
shiwentao00/cmake_example
Example pybind11 module built with a CMake-based build system
shiwentao00/CVIP
shiwentao00/diablo2_resurrected_filter
diablo2 resurrected loot filter
shiwentao00/leetcode-master
LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
shiwentao00/MLQuestions
Machine Learning and Computer Vision Engineer - Technical Interview Questions
shiwentao00/Neural-LoFi
LoFi improvisor based on deep learning. Under construction
shiwentao00/python-tdd-book
A walkthrough of the book Praise for Test-Driven Development with Python
shiwentao00/ShiArthur03
shiwentao00/tfjs-practice
Practices for tensorflow.js
shiwentao00/zinc-sampler