Penglinman's repositories
tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等
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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
ETDataset
The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.
Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
Lhy_Machine_Learning
李宏毅2021春季机器学习课程课件及作业
lstm-gru-pytorch
LSTM and GRU in PyTorch
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。
nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
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
Python
Demo and other Python3 code
RATL
code for RATL
Time-Series-Library
A Library for Advanced Deep Time Series Models.
time-series-prediction-lstm-pytorch
Time Series Prediction with LSTM Using PyTorch
TimesNet
About Code release for "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis" (ICLR 2023), https://openreview.net/pdf?id=ju_Uqw384Oq
tlbook-code
Code for Transfer Learning book--《迁移学习导论》配套代码
TLT-main
基于深度迁移学习的水质预测研究
Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
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