stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)
☆36Nov 5, 2019Updated 6 years ago
Alternatives and similar repositories for time-series-prediction-with-gan
Users that are interested in time-series-prediction-with-gan are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The LSTM GAN model can be used for generation of synthetic multi-dimension time series data.☆37Feb 26, 2019Updated 7 years ago
- Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is us…☆452Aug 14, 2020Updated 5 years ago
- Reproduction of code described in the paper "Stock Market Prediction Based on Generative Adversarial Network" by Kang Zhang et al.☆28Jun 12, 2020Updated 5 years ago
- Please run python train.py to predict time series.☆10Apr 5, 2019Updated 7 years ago
- Research code☆21Dec 6, 2019Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Using a Quantum Computing variant of a Long Short Term Memory model as the generator for a Generative Adversial Network used for time-ser…☆14Jan 2, 2024Updated 2 years ago
- Generative Adversarial Network for Stock Market Price Prediction☆58Dec 9, 2019Updated 6 years ago
- The repository of the paper 'AWD-Net: Adaptive Wavelet Decomposition Network for Rotating Machinery Fault Diagnosis Under Noisy Environme…☆20Nov 24, 2023Updated 2 years ago
- A PyTorch implementation of the Attention Diffusion Network from "Structured Time Series Prediction without Structural Prior"☆14Jul 10, 2022Updated 3 years ago
- ARIMA, DBN,FFNN,GBRT,LSTM,RFR,SEQ2SEQ,SVR,XGBOOST☆23Mar 15, 2019Updated 7 years ago
- This repo is about predicting survival time of a patient using different deep learning techniques. Basically many models were developed b…☆14Feb 27, 2020Updated 6 years ago
- Physical-knowledge-Guided and Explainable CNNs for Gear Fault Severity Level Diagnosis☆21Feb 6, 2026Updated 3 months ago
- In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to …☆270Jun 24, 2021Updated 4 years ago
- 使用AR自回归模型与长短时记忆网络进行时间序列数据预测☆19Mar 20, 2020Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Pytorch implementation of "Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning" https://arxiv.org/pdf/1909.08181…☆30Oct 30, 2019Updated 6 years ago
- Generation of Time Series data using generatuve adversarial networks (GANs) for biological purposes.☆115Dec 13, 2019Updated 6 years ago
- Stock market prediction model ANN, SVM, SVR☆16Apr 26, 2018Updated 8 years ago
- Repository containing the code for the paper: "TouchSense: Classifying Finger Touches and Measuring their Force with an Electromyography …☆11Oct 31, 2018Updated 7 years ago
- WindTurbineHighSpeedBearingPrognosis-Data☆10Aug 19, 2020Updated 5 years ago
- Sentiment analysis of the collected tweets is used for prediction model for finding and analysing correlation between contents of news ar…☆12Jul 11, 2021Updated 4 years ago
- using MIMC-III time series data to predict the probability of death.☆10Jul 21, 2019Updated 6 years ago
- Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019☆1,055Feb 5, 2026Updated 3 months ago
- The implementation of ACGAN-FG for zero-shot fault diagnosis (Ongoing update)☆18Jun 27, 2025Updated 11 months ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.☆173Oct 29, 2022Updated 3 years ago
- ☆20Feb 9, 2019Updated 7 years ago
- [MSSP] Dual Disentanglement Domain Generalization Method for Rotating Machinery Fault Diagnosis☆36Jul 6, 2025Updated 10 months ago
- stock prediction with GAN and WGAN☆107Oct 3, 2022Updated 3 years ago
- ☆10Sep 18, 2021Updated 4 years ago
- Using K-NN, SVM, Bayes, LSTM, and multi-variable LSTM models on time series forecasting☆53Jun 29, 2019Updated 6 years ago
- Wasserstein GAN with gradient penalty (WGAN-GP) applied to financial time series.☆17Oct 17, 2018Updated 7 years ago
- Team Jonas contribution to ERP Prediction Contest, February 15, 2019 - May 15, 2019☆16Oct 3, 2019Updated 6 years ago
- Comparative Analysis of Conv1D-LSTM with CNN , LSTM for Stock Price Prediction☆63Sep 3, 2018Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- SVM for stock/index prediction☆15Dec 9, 2016Updated 9 years ago
- Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)☆42Jan 9, 2023Updated 3 years ago
- we implemented a model to predict the market price of a nonlinear chaotic time series,using reinforcement learning☆17Dec 4, 2018Updated 7 years ago
- Stock price forecasting stuff with BERT☆33Sep 23, 2020Updated 5 years ago
- time series forecasting with image☆47Aug 30, 2023Updated 2 years ago
- This repository contains the implementation of the model for bearing fault diagnosis，also includes five comparison models for performance…☆25Mar 7, 2025Updated last year
- ☆116Jun 25, 2018Updated 7 years ago