alex-sh-yau / VAELinks
Variational Autoencoder for generating financial time-series data
☆13Updated 6 years ago
Alternatives and similar repositories for VAE
Users that are interested in VAE are comparing it to the libraries listed below
Sorting:
- GANs for time series generation in pytorch☆272Updated 5 years ago
- Pytorch implementation of the paper "Time-series Generative Adversarial Networks".☆100Updated 2 years ago
- A transformer guided GAN to generate synthetic time-series data.☆33Updated 3 years ago
- ☆97Updated 2 years ago
- ☆134Updated last year
- TimeVAE implementation in keras/tensorflow☆154Updated 5 months ago
- Time series missing data imputation with Temporal Convolutional Denoising Autoencoder☆18Updated last year
- ☆92Updated 3 years ago
- ☆45Updated 4 years ago
- Use pytorch to rebulid TimeGAN.☆21Updated last year
- ☆13Updated 4 years ago
- NIPS2018 paper☆192Updated 6 years ago
- Adversarial Sparse Transformer for Time Series Forecasting☆140Updated 3 years ago
- Pytorch Implementation of LSTM-SAE(Long Short Term Memory - Stacked AutoEncoder)☆25Updated 11 months ago
- CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.☆271Updated 5 months ago
- Experimenting with generating synthetic data using ydata-synthetic☆36Updated 3 years ago
- Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.☆174Updated 2 years ago
- TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network☆272Updated last year
- This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.☆81Updated 3 years ago
- A paper list for Time series modelling, including prediciton and anomaly detection☆93Updated 5 years ago
- This repo holds the implementation the paper 'Forecasting gold price using a novel hybrid model with ICEEMDAN and LSTM-CNN-CBAM', by Yanh…☆50Updated 3 years ago
- Minimal Working Example of a (baseline) Temporal Convolutional Autoencoder (TCN-AE) for Anomaly Detection in Time Series☆49Updated 4 years ago
- Multivariate Time Series Imputation with Generative Adversarial Networks☆11Updated 4 years ago
- Pytorch implementation of GAIN for missing data imputation☆75Updated last year
- ☆10Updated 3 years ago
- A model to generate time series data with the purpose of augmenting a dataset of various time series.☆63Updated 5 years ago
- time-series-predictoin(LSTNet,SAB,Transformer...)☆142Updated 6 years ago
- Lstm variational auto-encoder for time series anomaly detection and features extraction☆330Updated 5 years ago
- Variational Recurrent Autoencoder for timeseries clustering in pytorch☆486Updated 2 years ago
- MLP_VAE, Anomaly Detection, LSTM_VAE, Multivariate Time-Series Anomaly Detection, IndRNN_VAE, Tensorflow☆125Updated 6 years ago