Vae In Predicting Stock
VAE in feature extraction help predicting stock
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Deep Learning Time Series | 1,811 | 2 years ago | 8 | apache-2.0 | Jupyter Notebook | |||||
| List of papers, code and experiments using deep learning for time series forecasting | ||||||||||
| Flow Forecast | 1,759 | 3 months ago | 101 | gpl-3.0 | Python | |||||
| Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting). | ||||||||||
| Getting Things Done With Pytorch | 873 | 3 years ago | 13 | apache-2.0 | Jupyter Notebook | |||||
| Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT. | ||||||||||
| Telemanom | 793 | 2 years ago | 11 | other | Jupyter Notebook | |||||
| A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions. | ||||||||||
| Ad_examples | 738 | 2 years ago | 2 | mit | Python | |||||
| A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network. | ||||||||||
| Rwa | 595 | 4 years ago | bsd-3-clause | Python | ||||||
| Machine Learning on Sequential Data Using a Recurrent Weighted Average | ||||||||||
| Predictive Maintenance Using Lstm | 507 | a year ago | mit | Python | ||||||
| Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras. | ||||||||||
| Multilabel Timeseries Classification With Lstm | 487 | 7 years ago | 3 | apache-2.0 | Jupyter Notebook | |||||
| Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks. | ||||||||||
| Tensorflow Time Series Examples | 425 | 6 years ago | 10 | Python | ||||||
| Time Series Prediction with tf.contrib.timeseries | ||||||||||
| Lstm Fcn | 388 | 5 years ago | 7 | Python | ||||||
| Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification | ||||||||||
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