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alibaba_ml_challenge

Bearing Remaining Useful Life (RUL) Estimation

annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

bearingrul

Using LSTM to predict bearings' remaining useful life

chatgpt_academic

中科院科研工作专用ChatGPT，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能

data-challenge-2021

data-challenge-2022

deep-learning-in-phm

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

domainadaption_phm2020

Code and supplementary material for ICPHM2020

femto

Spark - Bearing RUL Predictions

femto-dataloader

A data loader class for the FEMTO-ST Ball Bearing Dataset

fsdp_qlora

Training LLMs with QLoRA + FSDP

hello

incertae

Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments

lstm_ensemble

Uncertainty in LSTM using MC-dropout and ensembling

mnist-mc-dropout

model uncertainty using mc dropout

n-cmapss_dl

N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)

phm-rul-prediction-by-em

Remain useful life prediction of rolling bearing.

projectrul

to prediction the remain useful life of bearing based on 2012 PHM data

remaining-useful-life-of-ball-bearing-using-hilbert-huang-entropy

remaining-useful-life-prediction-rnn

Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks

rotating-machine-fault-data-set

Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)

rul_prediction_svm

Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research Paper : https://doi.org/10.1016/j.isatra.2019.08.058

sp_lib

Signal processing method and algorithm library

time-series-library

A Library for Advanced Deep Time Series Models.

triplet

Code of the paper "Solving Inefficiency of Self-supervised Representation Learning"

ucas-covid19

ucas疫情防控每日填报助手

weibull-knowledge-informed-ml

Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).