Unofficial implementation of TimeGAN (Yoon et al., NIPS 2019) in TensorFlow 2.
Jinsung Yoon, Daniel Jarrett, Mihaela van der Schaar, "Time-series Generative Adversarial Networks," Neural Information Processing Systems (NeurIPS), 2019
Original Codebase: https://github.com/jsyoon0823/TimeGAN.git
- Stock data: https://finance.yahoo.com/quote/GOOG/history?p=GOOG
- Energy data: http://archive.ics.uci.edu/ml/datasets/Appliances+energy+prediction
The model was implemented and tested using Python==3.11.9. Further, the following modules were utilized (see Requirements File):
keras==3.9.2
matplotlib==3.10.1
numpy==2.1.3
pandas==2.2.3
scikit-learn==1.6.1
tensorflow==2.19.0
tqdm==4.67.1
Visualization
