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Mao Jiashun's Projects

g-meta icon g-meta

Graph meta learning via local subgraphs (NeurIPS 2020)

g-reader icon g-reader

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 icon g2vec

G2Vec: Distributed gene representations for identification of cancer prognostic genes (Scientific Reports)

ga icon ga

Code for the paper: Augmenting genetic algorithms with deep neural networks for exploring the chemical space

gaft icon gaft

A Genetic Algorithm Framework in Python

gal icon gal

Genome Annotation Library - A perl toolkit for working with SO compliant genome annotations

galaxy icon galaxy

Galaxy 生物信息学在线分析平台(Data intensive science for everyone)。

gan-tensorflow icon gan-tensorflow

This's a re-implementation of generative adversarial networks using tensorflow.

ganotebooks icon ganotebooks

Fork of https://github.com/tjwei/GANotebooks, with learning notes and comments (in Chinese) for pix2pix-keras implementation.

gb-ga icon gb-ga

Graph-based genetic algorithm

gbevo icon gbevo

Covariance Matrix Adaptation Evolution Strategy (CMA-ES) for features selection and hyperparameter optimization of gradient boosting models (XGBoost, LGBM, CatBoost etc.).

gcforest icon gcforest

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

gcndesign icon gcndesign

Neural network model for prediction of amino-acid sequence from a protein backbone structure

gcwgan icon gcwgan

Guided Conditional Wasserstein GAN for De Novo Protein Design

gdc icon gdc

Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)

geact icon geact

Genome Architecture of Cells in Tissues

geatpy icon geatpy

Evolutionary algorithm toolbox and framework with high performance for Python

gekcs icon gekcs

How to Turn Your Knowledge Graph Embeddings into Generative Models via Probabilistic Circuits

generative-ai icon generative-ai

Public repository for Generative AI Design and Exploration of Nucleoside Analogs

generative_ai_nucleosides icon generative_ai_nucleosides

Generative design of nucleoside analogs relevant to antiviral drug discovery, prebiotic chemistry and synthetic biology

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