Pinned Repositories
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GIT课程测试
Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
BP-Algorithm
一文彻底搞懂BP算法：原理推导+数据演示+项目实战
Crossformer
Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"
Decision_tree-python
决策树分类（ID3，C4.5，CART）
deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
DeepLearning_LHY21_Notes
深度学习 李宏毅 2021 学习笔记
tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等
TLT
TLT Recurrent fine-tuning transfer learning for water quality long-term prediction
TLT-main
基于深度迁移学习的水质预测研究
Penglinman's Repositories
Penglinman/TLT-main
基于深度迁移学习的水质预测研究
Penglinman/tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等
Penglinman/TLT
TLT Recurrent fine-tuning transfer learning for water quality long-term prediction
Penglinman/-
GIT课程测试
Penglinman/Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
Penglinman/BP-Algorithm
一文彻底搞懂BP算法：原理推导+数据演示+项目实战
Penglinman/Crossformer
Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"
Penglinman/Decision_tree-python
决策树分类（ID3，C4.5，CART）
Penglinman/deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
Penglinman/DeepLearning_LHY21_Notes
深度学习 李宏毅 2021 学习笔记
Penglinman/ETDataset
The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.
Penglinman/head2toe
Penglinman/Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
Penglinman/Lhy_Machine_Learning
李宏毅2021春季机器学习课程课件及作业
Penglinman/lstm-gru-pytorch
LSTM and GRU in PyTorch
Penglinman/ML-From-Scratch
机器学习算法 基于西瓜书以及《统计学习方法》，当然包括DL。
Penglinman/multivariate-time-series-data
Penglinman/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
Penglinman/PatchTST
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
Penglinman/Python
Demo and other Python3 code
Penglinman/RATL
code for RATL
Penglinman/SASA-pytorch
Penglinman/Time-Series-Library
A Library for Advanced Deep Time Series Models.
Penglinman/time-series-prediction-lstm-pytorch
Time Series Prediction with LSTM Using PyTorch
Penglinman/TimesNet
About Code release for "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis" (ICLR 2023), https://openreview.net/pdf?id=ju_Uqw384Oq
Penglinman/tlbook-code
Code for Transfer Learning book--《迁移学习导论》配套代码
Penglinman/Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
Penglinman/tsai
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai