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Name: kehan liu
Type: User
Name: kehan liu
Type: User
Config files used to define parameters specific to compute environments at different Institutions
Conditional Transformer Language Model for Controllable Generation
A structure-aware interpretable deep learning model for sequence-based prediction of protein-protein interactions
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。
DDGScan: an integrated parallel workflow for the in silico point mutation scan of protein
Deep learning models and structure realization scripts for the DeepAb antibody structure prediction method.
A deep learning package for many-body potential energy representation and molecular dynamics
Graph Network for protein-protein interface
Graph Network for protein-protein interface including language model features
A convolutional neural network model to predict spatial charge map (SCM) score, a molecular dynamics simulation-based model to predict antibody viscosity.
DeepSoluE
DeepUMQA: Ultrafast Shape Recognition-based Protein Model Quality Assessment using Deep Learning
✌🏻 Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures (NeurIPS 2022)
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Implementation of DiffDock-PP: Rigid Protein-Protein Docking with Diffusion Models in PyTorch (ICLR 2023 - MLDD Workshop)
A Euclidean diffusion model for structure-based drug design.
DiscoTope-3.0: Improved B-cell epitope prediction using AlphaFold2 modeling and inverse folding latent representations
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。
Code for the paper "DLAB - Deep learning methods for structure-basedvirtual screening of antibodies"
Fast and accurate protein structure prediction
DNA plotting library for Python
DNA plasmid editing - written in python
Dock2D: Synthetic datasets for the molecular recognition problem
RMIT Capstone 2020 DockNet Training Code
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.