BenChaliah / TimeSeriesGAN Star 70 Code Issues Pull requests GANs for Time series analysis (Synthetic data generation, anomaly detection and interpolation), Hypertuning using Optuna, MLFlow and Databrickssparkgenerative-adversarial-networkstock-markethyperparameter-optimizationdatabrickshyperparameter-tuningmlopsdilated-convolutioncausal-convolution Updated Sep 14, 2022Jupyter Notebook
julsngbatac / GANs-For-Synthetic-Data-Generation Star 0 Code Issues Pull requests 🤖 Generate realistic synthetic data using GANs to boost AI model training with images, text, and diverse datasets for better performance.machine-learningsparktabular-datagenerative-adversarial-networkhyperparameter-optimizationgansdata-augmentationdiffusionneuralnetworksdata-evaluationgenerative-modelsdata-synthesismlopsdilated-convolutionsyntheticdatasynthetic-data-generationdataaugmentationcausal-convolution Updated Aug 11, 2026