shunsunsun Goto Github PK
Name: Mao Jiashun
Type: User
Company: yonsei university
Bio: I am working in ML and DL, computational biology, QSAR, bioinformatics. a PhD student
Name: Mao Jiashun
Type: User
Company: yonsei university
Bio: I am working in ML and DL, computational biology, QSAR, bioinformatics. a PhD student
Graph meta learning via local subgraphs (NeurIPS 2020)
2018年机器阅读理解技术竞赛模型,国内外1000多支队伍中BLEU-4评分排名第6, ROUGE-L评分排名第14。(未ensemble,未嵌入训练好的词向量,无dropout)
G2Vec: Distributed gene representations for identification of cancer prognostic genes (Scientific Reports)
Code for the paper: Augmenting genetic algorithms with deep neural networks for exploring the chemical space
A Genetic Algorithm Framework in Python
Genome Annotation Library - A perl toolkit for working with SO compliant genome annotations
Galaxy 生物信息学在线分析平台(Data intensive science for everyone)。
GAMESS issue tracking
A repository for GAMESS related documents.
Generative Adversarial Network Loss Summary
This's a re-implementation of generative adversarial networks using tensorflow.
Fork of https://github.com/tjwei/GANotebooks, with learning notes and comments (in Chinese) for pix2pix-keras implementation.
Graph-based genetic algorithm
Covariance Matrix Adaptation Evolution Strategy (CMA-ES) for features selection and hyperparameter optimization of gradient boosting models (XGBoost, LGBM, CatBoost etc.).
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
Neural network model for prediction of amino-acid sequence from a protein backbone structure
Guided Conditional Wasserstein GAN for De Novo Protein Design
Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)
Genome Architecture of Cells in Tissues
Evolutionary algorithm toolbox and framework with high performance for Python
How to Turn Your Knowledge Graph Embeddings into Generative Models via Probabilistic Circuits
Companion code to the paper.
Public repository for Generative AI Design and Exploration of Nucleoside Analogs
Overview of published generative models that produce molecules
Code and Data for Generative modeling for AAV design
Generative design of nucleoside analogs relevant to antiviral drug discovery, prebiotic chemistry and synthetic biology
Genetic algorithm implementation in Python
🧬 GFS Algorithm Implement by Python.
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.