junwang23 / deepdirtycodesLinks
Experimental and exercising codes
☆22Updated 6 years ago
Alternatives and similar repositories for deepdirtycodes
Users that are interested in deepdirtycodes are comparing it to the libraries listed below
Sorting:
- Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971☆59Updated 2 years ago
- KurochkinAlexey / Hierarchical-Attention-Based-Recurrent-Highway-Networks-for-Time-Series-PredictionPytorch implementation of Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction https://arxiv.org/abs/1806.0…☆64Updated 5 years ago
- A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series☆72Updated 6 years ago
- ☆43Updated last year
- Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)☆48Updated 3 years ago
- Pytorch implementation of Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction https://arxiv.org/pdf/1704.02971…☆38Updated 5 years ago
- A Keras library for multi-step time-series forecasting.☆184Updated 2 years ago
- 基於DA-RNN之DSTP-RNN論文試做(Ver1.0)☆77Updated 4 years ago
- Codes for Multi-Level Construal Neural Network framework☆48Updated 4 years ago
- ☆158Updated 3 years ago
- RNN based on Chandler Zuo's implementation of the paper: A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction☆18Updated 11 months ago
- Recurrent Neural Network Implementations for Time Series Forecasting☆74Updated 3 years ago
- Evaluation of shallow and deep learning models for multi-step-ahead time series prediction☆60Updated 4 years ago
- Financial time series forecast using dual attention RNN☆27Updated 6 years ago
- EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction☆38Updated 6 years ago
- A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction☆112Updated last year
- Deep Learning for Quantile Regression under Right Censoring☆28Updated 3 years ago
- ☆117Updated 7 years ago
- time series forecasting using keras, inlcuding LSTM,RNN,MLP,GRU,SVR and multi-lag training and forecasting method, ICONIP2017 paper.☆119Updated 6 years ago
- A Tensorflow Implementation of Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction☆14Updated 5 years ago
- QRNN (Quantile Regression Neural Network) Keras version☆24Updated 4 years ago
- Quantile Regression using Deep Learning. An alternative to Bayesian models to get uncertainty.☆77Updated 7 years ago
- Deep Learning + Time Series Analysis☆27Updated 6 years ago
- ☆19Updated 4 years ago
- Neural Time Series Analysis☆14Updated 2 years ago
- ☆29Updated 5 years ago
- Multi-task learning via Bayesian Neural Networks for Dynamic Time Series Prediction☆21Updated 7 years ago
- ☆48Updated 7 years ago
- stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)☆35Updated 5 years ago
- MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)☆94Updated 4 years ago