coolcodelvs Goto Github PK

cs-books

超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~

cs-xmind-note

计算机专业课（408）思维导图和笔记：计算机组成原理（第五版 王爱英），数据结构（王道），计算机网络（第七版 谢希仁），操作系统（第四版 汤小丹）

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

dagcn

This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions.

dagcn-1

Dual Attention Graph Convolutional Network

dast

The code of DAST

dataanalysis

Python数据分析教程的资料

deep-learning-fault-diagnosis

deep-learning-in-phm

Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction

deep-transfer-learning

A collection of implementations of deep domain adaptation algorithms

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

digital_twin_by_gan

Digital twins in machining process by Generative Adversarial Nets

dimensionality_reduction_alo_codes

特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现

dive_into_deep_learning

✔️李沐 【动手学深度学习】课程学习笔记：使用pycharm编程，基于pytorch框架实现。

dr-net

dragonfly

An open source python library for scalable Bayesian optimisation.

dtw

DTW (Dynamic Time Warping) python module

dtw-features-cnn

Introducing Local Distance-based Features to Temporal Convolutional Neural Networks (ICFHR 2018)

em-isnmf

Expectation-maximization algorithms for Itakura-Saito NMF

enas-pdm

Evolutionary Neural Architecture Search for Remaining Useful Life Prediction

enhancenet

fault-detection-for-predictive-maintenance-in-industry-4.0

This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.

fault-diagnosis-for-small-samples-based-on-attention-mechanism

基于注意力机制的少量样本故障诊断 pytorch

garne-genetic-algorithm-with-recurrent-network-and-novelty-exploration

GARNE: Genetic-Algorithm-with-Recurrent-Network-and-Novelty-Exploration

gaussian-processes-regression-tutorial

An Intuitive Tutorial to Gaussian Processes Regression

gcrnn_pytorch

使用GCN和GRU组合模型，多站点气温预测

generative_models_tutorial_with_demo

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

gnnpapers

Must-read papers on graph neural networks (GNN)

graphormer

Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material design, drug discovery, etc.

graphormer_new