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A Library for Advanced Deep Time Series Models.
About Code release for "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis" (ICLR 2023), https://openreview.net/pdf?id=ju_Uqw384Oq
This is a data respository related to the paper "Extending a model for water vapor sounding by ground-based GNSS in the vertical direction"
我的导航学习笔记,内容涵盖导航定位开源程序的源码解读 ( 包括:RTKLIB、GAMP、GINav、Ginan、PSINS、SoftGNSS、KF-GINS、GICI-Lib 等)、开源项目梳理、书籍讲义、博客翻译、教程讲座推荐;本仓库会长期更新,分享出来,既是跟大家做个交流,也激励着自己坚持学下去;所有内容都可以随意转载,原始文件都放在这了,欢迎在我的基础上整理出自己的一些文档。
ResLT: Residual Learning for Long-tailed Recognition (TPAMI 2022)
CVPR 2022 - official implementation for "Long-Tailed Recognition via Weight Balancing" https://arxiv.org/abs/2203.14197
PyTorch implementation of the paper: Long-tail Learning via Logit Adjustment
The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
[ CVPR 2021 Oral ] Pytorch implementation for "Adversarial Robustness under Long-Tailed Distribution"
A scientific and useful toolbox, which contains practical and effective long-tail related tricks with extensive experimental results
Google Research
Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
Regression Transformer (2023; Nature Machine Intelligence)
deep learning for image processing including classification and object-detection etc.
Official code for Conformer: Local Features Coupling Global Representations for Visual Recognition
Incorporating Transformer and LSTM to Kalman Filter with EM algorithm
Use Transformers and LSTMs to learn Python source code
stock predict with MLP,CNN,RNN,LSTM,Transformer and Transformer-LSTM
An accurate and reliable wind power forecasting model that can handle the variability and uncertainty of the wind resource. An ensemble model which includes the Transformer, LSTM and Gradient Boost…
Speech Emotion Classification with novel Parallel CNN-Transformer model built with PyTorch, plus thorough explanations of CNNs, Transformers, and everything in between
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
For largescale wind power penetration Wind speed prediction is a basic requirement of wind energy generation. There are many artificial neural network (ANN), ARMA, ARIMA approaches proposed in the …
In this project i demonstrate the complete guide of ARIMA Model on the wind scenario forecasting dataset
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.
This is Tensorflow based project using U-Net Architecture to map flooding using Sentinel-1 imagery