Stars
🔥🔥🔥 We release an implementation of many attention mechanism models! Plug-and-play, performance booster!
MoH: Multi-Head Attention as Mixture-of-Head Attention
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.
[AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.
[ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks
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
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Fault Diagnosis Employing Transfer Learning Techniques: Domain Adaptation and Domain Generalization
Python scripts for wind turbine main bearing fatigue life estimation with physics-informed neural networks
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"
Contains the implementation of the EDAIN and EDAIN-KL methods proposed in our paper. The research was also part of the thesis I wrote as part of my MSc in Statistics (Data Science) at Imperial Coll...
to prediction the remain useful life of bearing based on 2012 PHM data
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
🕹️SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy
RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN
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...
Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)
Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
MNBVC(Massive Never-ending BT Vast Chinese corpus)超大规模中文语料集。对标chatGPT训练的40T数据。MNBVC数据集不但包括主流文化,也包括各个小众文化甚至火星文的数据。MNBVC数据集包括新闻、作文、小说、书籍、杂志、论文、台词、帖子、wiki、古诗、歌词、商品介绍、笑话、糗事、聊天记录等一切形式的纯文本中文数据。
api-gateway-assist-用于服务拉取、包装的Spring Starter组件。
一个自研的API网关,基于Netty、Zookeeper、Shrio、Dubbo、Docker、Dockerfile、Nginx。