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🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga...
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, cl...
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Fault Diagnosis Employing Transfer Learning Techniques: Domain Adaptation and Domain Generalization
Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group
This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotlight), https://openreview.net/forum?id=vpJMJerXHU
🕹️SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy
to prediction the remain useful life of bearing based on 2012 PHM data
MoH: Multi-Head Attention as Mixture-of-Head Attention
Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021). Remaining useful l...
[ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks
RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN
Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective
Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction
Python scripts for wind turbine main bearing fatigue life estimation with physics-informed neural networks
[AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.
Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer
Implementation of GCU-Transformer for RUL Prediction on CMAPSS
Ultra-short-term multi-step wind speed prediction for wind farms based on adaptive noise reduction technology and temporal convolutional network
Repository for ICLR 2023 work, "Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting"
🔥🔥🔥 We release an implementation of many attention mechanism models! Plug-and-play, performance booster!
Official code for Fisher information embedding for node and graph learning (ICML 2023)
项目简介:本项目基于GPT完成数据标注、分类、润色等工作,原理是多线程批量处理input的数据,经过GPT处理后输出output数据。