AIXIE

AIXIE's Stars

• AntixK/PyTorch-VAE

  A Collection of Variational Autoencoders (VAE) in PyTorch.

  Language:Python6.5k43851.1k

• Alro10/deep-learning-time-series

  List of papers, code and experiments using deep learning for time series forecasting

  Language:Jupyter Notebook2.6k807520

• riscv-mcu/e203_hbirdv2

  The Ultra-Low Power RISC-V Core

  Language:Verilog1.2k3519336

• Estom/notes

  一个码农的毕生所学!笔记 & 教程。考研,就业,上学.语言篇，Android,C++,Java,JavaScript,Latex,MATLAB,NodeJS,PHP,Python,技术篇,docker,git,Linux,Maven,office,Spark,Spring,SVN,基础篇,编译原理,操作系统,单片机,计算机网络,计算机网络实验,架构模式,软件文档写作,设计模式,数据结构,数据库,算法,UML建模,Windows程序设计,数学篇,概率论与数理统计,微积分,线性代数,张量,机器学习篇,机器学习,pytorch,sklearn,TensorFlow

  Language:Jupyter Notebook1.1k101192

• Zhenye-Na/DA-RNN

  📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)

  Language:Jupyter Notebook4181325139

• ethanluoyc/pytorch-vae

  A Variational Autoencoder (VAE) implemented in PyTorch

  Language:Python40983107

• RuifMaxx/Multidimensional-time-series-with-transformer

  transformer/self-attention for Multidimensional time series forecasting 使用transformer架构实现多维时间预测

  Language:Jupyter Notebook2183339

• xinychen/tensor-learning

  Python codes for low-rank tensor factorization, tensor completion, and tensor regression techniques.

  Language:Jupyter Notebook2026550

• ZhouYuxuanYX/Unsupervised-Deep-Learning-Framework-for-Anomaly-Detection-in-Time-Series-

  Unsupervised deep learning framework with online(MLP: prediction-based, 1 D Conv and VAE: reconstruction-based, Wavenet: prediction-based) settings for anaomaly detection in time series data

  Language:Python1183234

• patrick201/information_value

  Language:Python10111175

• gabrielloye/GRU_Prediction

  Language:Jupyter Notebook382219

• DAMO-DI-ML/NeurIPS2022-FiLM

  Source code of NeurIPS'22 paper: FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting

  Language:Python33414

• zhangxu0307/stack-autoencoder

  This is stack autoencoder (SAE) implemented by Pytorch

  Language:Python25214

• Damilytutu/LSTMAE

  SPATIAL-TEMPORAL DATA AUGMENTATION BASED ON LSTM AUTOENCODER NETWORK FOR SKELETON-BASED HUMAN ACTION RECOGNITION

  Language:Python22113

• JustusvLiebig/Inferential_Sensor_Experiment

  Soft Sensor with Variational Inference Technique

  Language:Python16104

• xiaobinbin0827/SAE_pytorch

  基于pytorch实现的堆叠自编码神经网络，包含网络模型构造、训练、测试

  Language:Python15205

• tonyzyl/Semisupervised-VAE-for-Regression-Application-on-Soft-Sensor

  An semi-supervised extension based on VAE for Regression, demonstrate its performance on two soft sensor benchmark problems.

  Language:Jupyter Notebook12105

• tongnie/tensorlib

  Repository for paper 'Truncated tensor Schatten p-norm based approach for spatiotemporal traffic data imputation with complicated missing patterns'.

  Language:Python11113

• josmellcordova/Debutanizer

  Prediction of the C4 content in the bottoms of a debutanizer column

  Language:Jupyter Notebook7200

• MingweiJia/GCN-based_soft_sensor

  paper: Development of GCN-based soft sensor for quality prediction of process industry

  Language:Python5210

• SeaEagleI/Stock-Price-Prediction

  使用LR、LSTM、ARIMA、KNN等多种机器学习模型进行股价预测

  Language:HTML5101

• whensungoesdown/axi_sram_bridge

  Language:Verilog5100

• alittlezz/RecSys-Variational-Autoencoder

  Implementation for the paper "Dual Collaborative Variational Autoencoders for Recommender Systems"

  Language:Jupyter Notebook420

• fmc123653/Multivariate-time-series-anomaly-detection-

  Some papers and algorithm codes on multivariate time series anomaly detection

  Language:Python40

• ManojKumarMaruthi/Regression

  Metro Interstate Traffic Volume

  Language:Jupyter Notebook4107

• fyc233/a-multi-step-short-term-wind-speed-forecasting-framework

  Language:Python210

• thakurrishabh/Dual-AutoEncoder-Network-For-Retinex-Based-Low-Light-Image-Enhancement

  Language:Jupyter Notebook2201

• AIXIE/LSTM-SVM-RF-time-series

  Regression prediction of time series data using LSTM, SVM and random forest. 使用LSTM、SVM、随机森林对时间序列数据进行回归预测，注释拉满。

  Language:Jupyter Notebook1000

• czshuai/myCPU

  Five stage pipeline support exception and axi bus.

  Language:Verilog1100

• irosyadi/imron

  Language:HTML1203