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1book

《Web安全之机器学习入门》

2book

《Web安全之深度学习实战》

3book

《Web安全之强化学习与GAN》

allennlp

An open-source NLP research library, built on PyTorch.

chinese-poetry

最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人，21050首词。

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

colonmesenchymescrnaseq

Analysis of 10x scRNA-Seq of human and murine colonic stromal cell transcriptomic data in health in IBD

cvpr_template

deeplearningtutorials

Deep Learning与PyTorch视频教程

emogi

An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.

flask_demo

ganhacks

starter from "How to Train a GAN?" at NIPS2016

gans-awesome-applications

Curated list of awesome GAN applications and demo

glue-baselines

[DEPRECATED] Repo for exploring multi-task learning approaches to learning sentence representations

ite-api

Algorithms for Estimating Individualized Treatment Effects

jiant

The jiant toolkit for general-purpose text understanding models

jlu-health-report

吉林大学本科生/研究生自动快速健康打卡 (支持Github Actions)

leetcode

The optimum C++ solutions for the leetcode

machine_learning_derivation

notes of machine learning algorithm derivation

matrix-completion

Matrix completion and decomposition algorithm

mmgcn

MMGCN：Multi-view Multichannel Attention Graph Convolutional Network for miRNA-disease Association Prediction

mogonet

MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.

mtbook

《机器翻译：统计建模与深度学习方法》肖桐 朱靖波 著 - Machine Translation: Statistical Modeling and Deep Learning Methods

mvgcn

MVGCN: a novel multi-view graph convolutional network (MVGCN) framework for link prediction in biomedical bipartite networks.

mvgrl

mvgrl-1

DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'

nlp

兜哥出品 <一本开源的NLP入门书籍>

nsfc-latex

old_pro

pretrain-gnns

Strategies for Pre-training Graph Neural Networks