hilbert-qyw

tianya-docs

精心收集的天涯神贴，不带水印，方便阅读

hilbert-qyw.github.io

博客描述

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

LTSF-Linear

This is the official implementation for AAAI-23 Oral paper "Are Transformers Effective for Time Series Forecasting?"

The-state-of-charge-predication-of-lithium-ion-battery-using-data-driven-machine-learning

Machine-Remaining-Useful-Life-Prediction-Using-Temporal-Deep-Degradation-Network

Transfer-Learning-based-State-of-Health-Estimation-for-Lithium-ion-Battery

vcnn

Transfer-Learning-Library

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

DR-Net

Ebook-An_introduction_to_robust_optimization

Two_Stage_RUL_Prediction

The code is for the paper "Ma et al. A Two-Stage Integrated Method for Early Prediction of Remaining Useful Life of Lithium-ion Batteries"

Time-Series-Works-Conferences

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, etc.)

data-driven-prediction-of-battery-cycle-life-before-capacity-degradation

Code for Nature energy manuscript

tutorials

PyTorch tutorials.

time-series-transformers-review

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

Informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

ielts

IELTS guide and Cambridge English authentic examination papers (4-15, A+G) for programmers. 程序员雅思备考指南+剑雅4-15真题（A类+G类）全套。

HowToLiveLonger

程序员延寿指南 | A programmer's guide to live longer

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

rex

REsource eXtraction Tool (rex)

pytorch-Deep-Residual-Shrinkage-Networks-for-intelligent-fault-diagnosis

Deep Residual Shrinkage Networks for Intelligent Fault Diagnosis（pytorch） 深度残差收缩网络应用于故障诊断

hsds-examples

Examples of using the HSDS Service to Access NREL WIND Toolkit data

TCN

Sequence modeling benchmarks and temporal convolutional networks

MCNN

Demo of Multi-scale Deep Convolutional Neural Networks

UDTL

Source codes for the paper "Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study" published in TIM

PyBaMM

Fast and flexible physics-based battery models in Python

time_series_augmentation_recommendation

An example of time series augmentation methods with Keras

Awesome-of-Time-Series-Augmentation

A curated list of time series augmentation resources.

Wake_Steering_of_Wind_Turbines_using_NREL-s_FLORIS

Increased 3x3 wind farm output by 18.5\% using NREL's FLORIS library in Python with optimum yaw angles to each wind turbine Studied 4 wake models, fatigue life of turbine, optimal power outputs for 3x3 wind farm caused by yaw misalignment of wind turbines