1363442732's starred repositories
deep-time-series
Deep learning PyTorch library for time series forecasting
TSF_LSTF_Compare
Time series forecasting especially in LSTF compare，include Informer, Autoformer, Reformer, Pyraformer, FEDformer, Transformer, MTGNN, LSTNet, Graph WaveNet
time-series-autoencoder
PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series
time_series_forecasting_pytorch
time series forecasting using pytorch，including ANN,RNN,LSTM,GRU and TSR-RNN，experimental code
Deep-Time-Series-Prediction
Seq2Seq, Bert, Transformer, WaveNet for time series prediction.
Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
transformer-time-series-prediction
proof of concept for a transformer-based time series prediction model
keras-self-attention
Attention mechanism for processing sequential data that considers the context for each timestamp.
keras-multi-head
A wrapper layer for stacking layers horizontally
Wrapper-Feature-Selection-Toolbox-Python
This toolbox offers 13 wrapper feature selection methods (PSO, GA, GWO, HHO, BA, WOA, and etc.) with examples. It is simple and easy to implement.
swarmlib
This repository implements several swarm optimization algorithms and visualizes them. Implemented algorithms: Particle Swarm Optimization (PSO), Firefly Algorithm (FA), Cuckoo Search (CS), Ant Colony Optimization (ACO), Artificial Bee Colony (ABC), Grey Wolf Optimizer (GWO) and Whale Optimization Algorithm (WOA)
CNN-LSTM-Attention
使用卷积神经网络-长短期记忆网络（bi-LSTM）-注意力机制对股票收盘价进行回归预测。The convolution neural network, short-term memory network and attention mechanism are used to predict the closing price.
air_pollutants_prediction_lstm
This is a project for predicting air pollutants in London by time series model, including lstm, bilstm, Convlstm, attention lstm, lightGBM and ARIMA
EEMD-LSTM-DO-Prediction
EEMD、LSTM、time series prediction、DO、Deep Learning
CNN-BiLSTM-Attention-Time-Series-Prediction_Keras
CNN+BiLSTM+Attention Multivariate Time Series Prediction implemented by Keras
electric_forecast.pytorch
the electric seq data forecast
CSDN-code-link
由于CSDN博客里面不能直接上代码链接，涉嫌营销推广，因此建一个github仓库用于整理这些代码链接
SSA_python
麻雀搜索算法(Sparrow Search Algorithm, SSA)的python实现
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations