Pinned Repositories
A-Dual-Stage-Attention-Based-Recurrent-Neural-Network-for-Time-Series-Prediction
AAAI-2019-AFS
The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".
attentioned-dual-stage-stock-prediction
By PyTorch
Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
c-rnn-gan
Implementation of C-RNN-GAN.
c-rnn-gan.pytorch
PyTorch implementation of C-RNN-GAN for Music Generation
CCM
CGAN-mnist
这是利用条件GAN(CGAN)实现生成MNIST图像的代码
chandlerzuo.github.io
My blog.
CPT
This is the native Python implementation of CPT(compact Prediction Tree)
L-forecaster's Repositories
L-forecaster/Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
L-forecaster/c-rnn-gan.pytorch
PyTorch implementation of C-RNN-GAN for Music Generation
L-forecaster/da-rnn
Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction
L-forecaster/DA-RNN-2
A Pytorch implement of DA-RNN (Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction)
L-forecaster/darts
A python library for easy manipulation and forecasting of time series.
L-forecaster/Dual_Stage_Attention_RNN
DARNN
L-forecaster/Dynamask
This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its prediction when the data is represented in terms of time series. For more details on the theoretical side, please read our ICML 2021 paper: 'Explaining Time Series Predictions with Dynamic Masks'.
L-forecaster/Handwritten-digit-recognition
B站up研究僧小张 手写数字识别从入门到实战代码。
L-forecaster/Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
L-forecaster/keras-tcn
Keras Temporal Convolutional Network.
L-forecaster/medium
Jupyter notebooks used for Medium.com articles
L-forecaster/models
L-forecaster/mRNN-mLSTM
Code for ICML 2020 paper: Do RNN and LSTM have Long Memory?
L-forecaster/MTGNN
L-forecaster/multivariate-attention-tcn
L-forecaster/N-BEATS
L-forecaster/nbeatsx
L-forecaster/pyGRNN
Python implementation of General Regression Neural Network (Nadaraya-Watson Estimator). A Feature Selection module based on GRNN is also provided
L-forecaster/Pytorch-Transfomer
My implementation of the transformer architecture from the Attention is All you need paper applied to time series.
L-forecaster/pytorch_time2vec
L-forecaster/SAGA
Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection
L-forecaster/SCINet
The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“.
L-forecaster/ST-Norm
L-forecaster/TAMS-RNNs
L-forecaster/TCN
Sequence modeling benchmarks and temporal convolutional networks
L-forecaster/team-learning-data-mining
主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。
L-forecaster/tensorflow-windows-wheel
Tensorflow prebuilt binary for Windows
L-forecaster/Time-Series-Analysis-Tutorial
时间序列分析教程
L-forecaster/TimeGAN
Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019
L-forecaster/vae
a simple vae and cvae from keras